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Journal of the American Statistical Association
Journal Prestige (SJR): 3.746

Citation Impact (citeScore): 2
Number of Followers: 79

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ISSN (Print) 0162-1459 - ISSN (Online) 1537-274X
Published by American Statistical Association

[5 journals]

Our Mission in Action: Past, Present, and Future
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  Authors: Dionne L. Price Office of Biostatistics of the Center for Drug Evaluation; Drug Administration, Silver Spring, MD
  Pages: 1 - 6
  Abstract: Volume 120, Issue 549, March 2025, Page 1-6
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2025.2450191
  Issue No: Vol. 120, No. 549 (2025)
Discussion of “Poisson-FOCuS: An Efficient Online Method for Detecting
Count Bursts with Application to Gamma Ray Burst Detection”
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  Authors: Mikael Kuusela Department of Statistics; Data Science, Carnegie Mellon University, Pittsburgh, PA
  Pages: 20 - 21
  Abstract: Volume 120, Issue 549, March 2025, Page 20-21
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2402536
  Issue No: Vol. 120, No. 549 (2025)
A Space Astrophysics Perspective on Poisson-FOCuS
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  Authors: Carlo Graziani Mathematics; Computer Science Division, Argonne National Laboratory, Lemont, IL
  Pages: 22 - 25
  Abstract: Volume 120, Issue 549, March 2025, Page 22-25
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2396960
  Issue No: Vol. 120, No. 549 (2025)
Discussion on “Poisson-FOCuS: An Efficient Online Method for Detecting
Count Bursts with Application to Gamma Ray Burst Detection” by Ward,
Dilillo, Eckley and Fearnhead
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  Authors: Yang Chen Department of Statistics; University of Michigan, Ann Arbor, MI
  Pages: 26 - 30
  Abstract: Volume 120, Issue 549, March 2025, Page 26-30
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2402961
  Issue No: Vol. 120, No. 549 (2025)
Saha and Ramdas’ Discussion of “Poisson-FOCuS” by Ward, Dilillo,
Eckley & Fearnhead
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  Authors: Aytijhya Saha Aaditya Ramdas a Indian Statistical Institute; Kolkata, Indiab Carnegie Mellon University, Pittsburgh, PA
  Pages: 31 - 33
  Abstract: Volume 120, Issue 549, March 2025, Page 31-33
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2402957
  Issue No: Vol. 120, No. 549 (2025)
Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with
Application to Gamma Ray Burst Detection. Rejoinder
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  Authors: Kes Ward Giuseppe Dilillo Idris Eckley Paul Fearnhead a STOR-i Doctoral Training Centre; Lancaster University, Lancaster, UKb INAF - Istituto di Astrofisica e Planetologia Spaziali, Rome, Italyc Department of Mathematics Statistics, Lancaster University, Lancaster, UK
  Pages: 34 - 37
  Abstract: Volume 120, Issue 549, March 2025, Page 34-37
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2443563
  Issue No: Vol. 120, No. 549 (2025)
Discussion of “Data Fission: Splitting a Single Data Point” – Some
Asymptotic Results for Data Fission
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  Authors: Lihua Lei Graduate School of Business; Department of Statistics, Stanford University, Stanford, CA
  Pages: 147 - 150
  Abstract: Volume 120, Issue 549, March 2025, Page 147-150
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2441416
  Issue No: Vol. 120, No. 549 (2025)
Discussion of “Data Fission: Splitting a Single Data Point”
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  Authors: Anna Neufeld Ameer Dharamshi Lucy L. Gao Daniela Witten Jacob Bien a Department of Mathematics; Operations, University of Southern California, Los Angeles, CA
  Pages: 151 - 157
  Abstract: Volume 120, Issue 549, March 2025, Page 151-157
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2421998
  Issue No: Vol. 120, No. 549 (2025)
A Discussion on: “Data Fission: Splitting a Single Data Point” by
Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.
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  Authors: Marta Catalano Augusto Fasano Matteo Giordano Giovanni Rebaudo a Luiss University; Roma, Italyb University of Torino, Torino, Italy
  Pages: 158 - 158
  Abstract: Volume 120, Issue 549, March 2025, Page 158-158
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2412183
  Issue No: Vol. 120, No. 549 (2025)
Data Fission and Sampling Designs: A Discussion
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  Authors: Kwun Chuen Gary Chan Ross L. Prentice Zhenman Yuan a Department of Biostatistics; University of Washington, Seattle, WAb Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WAc Department of Statistics, University of Washington, Seattle, WA
  Pages: 159 - 160
  Abstract: Volume 120, Issue 549, March 2025, Page 159-160
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2416530
  Issue No: Vol. 120, No. 549 (2025)
Assumption-Lean Data Fission with Resampled Data
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  Authors: Kevin Fry Snigdha Panigrahi Jonathan Taylor a Department of Statistics; Stanford University, Stanford, CAb Department of Statistics, University of Michigan, Ann Arbor, MI
  Pages: 161 - 161
  Abstract: Volume 120, Issue 549, March 2025, Page 161-161
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2412172
  Issue No: Vol. 120, No. 549 (2025)
Discussion of Leiner et al. “Data Fission: Splitting a Single
Data Point”
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  Authors: Daniel García Rasines Alastair Young Imperial College London; London, UK
  Pages: 162 - 163
  Abstract: Volume 120, Issue 549, March 2025, Page 162-163
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2402539
  Issue No: Vol. 120, No. 549 (2025)
Comment for “Data Fission: Splitting a Single Data Point”
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  Authors: Sangwon Hyun Statistics; University of California, Santa Cruz, CA
  Pages: 164 - 164
  Abstract: Volume 120, Issue 549, March 2025, Page 164-164
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2025.2467918
  Issue No: Vol. 120, No. 549 (2025)
Empirical Bayes Estimation via Data Fission
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  Authors: Nikolaos Ignatiadis Dennis L. Sun a Department of Statistics; Data Science Institute, University of Chicago, Chicago, ILb Department of Statistics, Stanford University, Stanford, CA
  Pages: 165 - 166
  Abstract: Volume 120, Issue 549, March 2025, Page 165-166
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2421994
  Issue No: Vol. 120, No. 549 (2025)
Comment on “Data Fission: Splitting a Single Data Point” by James
Leiner, Boyan Duan, Larry Wasserman and Aaditya Ramdas
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  Authors: V. Roshan Joseph H. Milton Stewart School of Industrial; Systems Engineering, Georgia Institute of Technology, Atlanta, GA
  Pages: 167 - 167
  Abstract: Volume 120, Issue 549, March 2025, Page 167-167
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2403728
  Issue No: Vol. 120, No. 549 (2025)
Discussion of “Data Fission: Splitting a Single Data Point” by
Leiner et al.
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  Authors: Jing Lei Natalia L. Oliveira Ryan J. Tibshirani a Department of Statistics & Data Science; Carnegie Mellon University, Pittsburgh, PAb Google, Mountain View, CAc Department of Statistics, UC Berkeley, Berkeley, CA
  Pages: 168 - 169
  Abstract: Volume 120, Issue 549, March 2025, Page 168-169
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2413426
  Issue No: Vol. 120, No. 549 (2025)
Comments on “Data Fission: Splitting a Single Data Point”
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  Authors: Sanat K. Sarkar Department of Statistics; Operations, Data Science, Fox School of Business, Temple University, Philadelphia, PA
  Pages: 170 - 171
  Abstract: Volume 120, Issue 549, March 2025, Page 170-171
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2414865
  Issue No: Vol. 120, No. 549 (2025)
Comment on “Data Fission: Splitting a Single Data Point”
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  Authors: Philip Waggoner Institute for Social; Policy, Columbia University, New York, NY
  Pages: 172 - 173
  Abstract: Volume 120, Issue 549, March 2025, Page 172-173
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2402523
  Issue No: Vol. 120, No. 549 (2025)
Comment on “Data Fission: Splitting a Single Data Point” Data Fission
for Unsupervised Learning: A Discussion on Post-Clustering Inference and
the Challenges of Debiasing
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  Authors: Changhu Wang Xinzhou Ge Dongyuan Song Jingyi Jessica Li a Department of Statistics; Data Science, University of California, Los Angeles, Los Angeles, CAb Department of Statistics, Oregon State University, Corvallis, ORc Interdepartmental Program of Bioinformatics University of California, Los Angeles, Los Angeles, CA
  Pages: 174 - 175
  Abstract: Volume 120, Issue 549, March 2025, Page 174-175
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2412191
  Issue No: Vol. 120, No. 549 (2025)
Comments on “Data Fission: Splitting a Single Data Point” by James
Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas
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  Authors: Lijun Wang Hongyu Zhao Department of Biostatistics; Yale University, New Haven, CT
  Pages: 176 - 177
  Abstract: Volume 120, Issue 549, March 2025, Page 176-177
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2412808
  Issue No: Vol. 120, No. 549 (2025)
Discussion on “Data Fission: Splitting a Single Data Point”
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  Authors: Zhigen Zhao Department of Statistics; Operations, Data Science, Temple University, Philadelphia, PA
  Pages: 178 - 179
  Abstract: Volume 120, Issue 549, March 2025, Page 178-179
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2024.2416913
  Issue No: Vol. 120, No. 549 (2025)
Rejoinder
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  Authors: James Leiner Boyan Duan Larry Wasserman Aaditya Ramdas a Department of Statistics; Data Science, Carnegie Mellon University, Pittsburgh, PAb Machine Learning Department, Carnegie Mellon University, Pittsburgh, PAc Google, Mountain View, CA
  Pages: 180 - 185
  Abstract: Volume 120, Issue 549, March 2025, Page 180-185
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-14T11:36:32Z
  DOI: 10.1080/01621459.2025.2459216
  Issue No: Vol. 120, No. 549 (2025)
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal
Covariates
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  Authors: Dayu Sun Zhuowei Sun Xingqiu Zhao Hongyuan Cao a Department of Biostatistics; Health Data Science, Indiana University School of Medicine, Indianapolis, INb School of Mathematics, Jilin University, Changchun, Chinac School of Public Health, Dalian Medical University, Dalian, Chinad Department of Applied Mathematics, The Hong Kong Polytechnic University, Kowloon, Hong Konge Department of Statistics, Florida State University, Tallahassee, FL
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-16T01:47:12Z
  DOI: 10.1080/01621459.2025.2476781
An Economical Approach to Design Posterior Analyses
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  Authors: Luke Hagar Nathaniel T. Stevens a Department of Epidemiology; Biostatistics Actuarial Science, University of Waterloo, Waterloo, Canada
  Pages: 1 - 10
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-16T01:43:54Z
  DOI: 10.1080/01621459.2025.2476221
Multi-Dimensional Domain Generalization with Low-Rank Structures
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  Authors: Sai Li Linjun Zhang a Institute of Statistics; Big Data, Renmin University of China, Beijing, Chinab Department of Statistics, Rutgers University, New Brunswick, NJ
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-11T07:16:02Z
  DOI: 10.1080/01621459.2025.2471055
Statistical Inference for High-Dimensional Convoluted Rank Regression
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  Authors: Leheng Cai Xu Guo Heng Lian Liping Zhu a Department of Statistics; Big Data, Renmin University of China, Beijing, China
  Pages: 1 - 25
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-11T07:13:25Z
  DOI: 10.1080/01621459.2025.2471054
Network Varying Coefficient Model
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  Authors: Xinyan Fan Kuangnan Fang Wei Lan Chih-Ling Tsai a Center for Applied Statistics; Economics, Chengdu, Chinae Graduate School of Management, University of California, Davis, CA
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-11T07:11:16Z
  DOI: 10.1080/01621459.2025.2470481
Class-Specific Joint Feature Screening in Ultrahigh-Dimensional Mixture
Regression
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  Authors: Kaili Jing Abbas Khalili Chen Xu a School of Mathematics; Fundamental Research, Peng Cheng Laboratory, Shenzhen, China
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-11T07:09:00Z
  DOI: 10.1080/01621459.2025.2468011
Robustifying Likelihoods by Optimistically Re-weighting Data
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  Authors: Miheer Dewaskar Christopher Tosh Jeremias Knoblauch David B. Dunson a Department of Mathematics; Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NYc Department of Statistics, UCL, London, UKd Department of Statistical Science, Duke University, Durham, NC
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-11T07:06:58Z
  DOI: 10.1080/01621459.2025.2468012
Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete
Data
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  Authors: Zhongyuan Lyu Ling Chen Yuqi Gu a Department of Statistics; Columbia University, New York, NYb Data Science Institute, Columbia University, New York, NY
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-11T06:59:27Z
  DOI: 10.1080/01621459.2025.2455198
Distributional Outcome Regression via Quantile Functions and its
Application to Modelling Continuously Monitored Heart Rate and Physical
Activity
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  Authors: Rahul Ghosal Sujit K. Ghosh Jennifer A. Schrack Vadim Zipunnikov a Department of Epidemiology; Biostatistics, University of South Carolina, Columbia, SCb Department of Statistics, North Carolina State University, Raleigh, NCc Department of Epidemiology, Johns Hopkins Bloomberg, School of Public Health, Baltimore, MDd Department of Biostatistics, Johns Hopkins Bloomberg, School of Public Health, Baltimore, MD
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-09T12:57:22Z
  DOI: 10.1080/01621459.2025.2460232
Efficient Estimation for Longitudinal Networks via Adaptive Merging
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  Authors: Haoran Zhang Junhui Wang a Department of Statistics; Technology, Shenzhen, Chinab Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-09T01:01:29Z
  DOI: 10.1080/01621459.2025.2455202
Estimation of Over-Parameterized Models from an Auto-Modeling Perspective
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  Authors: Yiran Jiang Chuanhai Liu a Department of Statistics; Purdue University, West Lafayette, IN
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-07T01:58:53Z
  DOI: 10.1080/01621459.2025.2455192
Fast Signal Region Detection With Application to Whole Genome Association
Studies
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  Authors: Wei Zhang Fan Wang Fang Yao a School of Mathematical Sciences; Center for Statistical Science, Peking University, Beijing, Chinab Department of Biostatistics, Mailman School of Public Health, Columbia University, NY
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-07T01:55:05Z
  DOI: 10.1080/01621459.2025.2464271
Phase-Type Distributions for Sieve Estimation
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  Authors: Hu Xiangbin Yudong Wang Zhisheng Ye Xingqiu Zhao a Department of Industrial Systems Engineering; Management, National University of Singapore, Singaporeb Department of Applied Mathematics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-07T01:52:56Z
  DOI: 10.1080/01621459.2025.2459442
Deep Regression for Repeated Measurements
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  Authors: Shunxing Yan Fang Yao Hang Zhou a School of Mathematical Sciences; Center for Statistical Science, Peking University, Beijing, Chinab Department of Statistics, University of California Davis, Davis, CA
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-04-07T01:48:05Z
  DOI: 10.1080/01621459.2025.2458344
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design
Using BART
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  Authors: Jacob R. Englert Stefanie T. Ebelt Howard H. Chang a Department of Biostatistics; Bioinformatics, Emory University, Atlanta, GAb Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
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High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent
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  Authors: Alexis Boulin Elena Di Bernardino Thomas Laloë Gwladys Toulemonde a Université Côte d’Azur; CNRS, LJAD, Nice, Franceb LEMON, Inria, Montpellier, Francec Univ Montpellier, IMAG, CNRS, Montpellier, France
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High-Dimensional Expected Shortfall Regression
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  Authors: Shushu Zhang Xuming He Kean Ming Tan Wen-Xin Zhou a University of Michigan; Ann Arbor, MIb Washington University in St. Louis, St Louis, MOc University of Illinois Chicago, Chicago, IL
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  PubDate: 2025-03-18T06:08:37Z
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Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
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  Authors: Larry Han Jue Hou Kelly Cho Rui Duan Tianxi Cai a Department of Biostatistics; Harvard University, Boston, MAb Department of Public Health Information Center, US Department of Veteran Affairs, Boston, MAe Department of Biomedical Informatics, Harvard Medical School, Boston, MA
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Hub Detection in Gaussian Graphical Models
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  Authors: José Á. Sánchez Gómez Weibin Mo Junlong Zhao Yufeng Liu a Department of Statistics; University of California Riverside, Riverside, CAb Mitchell E. Daniels, Jr. School of Business, Purdue University, West Lafayette, INc School of Statistics, Beijing Normal University, Beijing, Chinad Department of Statistics Operations Research, Department of Genetics, Department of Biostatistics, University of North Carolina at Chapel Hill, NC
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U-Statistic Reduction: Higher-Order Accurate Risk Control and
Statistical-Computational Trade-Off
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  Authors: Meijia Shao Dong Xia Yuan Zhang a Meta Platforms; Menlo Park, CAb Department of Mathematics, The Hong Kong University of Science Technology, Kowloon, Hong Kongc Department of Statistics, The Ohio State University, Columbus, OH
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A Novel Approach of High Dimensional Linear Hypothesis Testing Problem
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  Authors: Zhe Zhang Xiufan Yu Runze Li a Department of Statistics; The Pennsylvania State University, University Park, PAb Department of Applied Statistics, University of Notre Dame, Notre Dame, IN
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Identifying Genetic Variants for Brain Connectivity Using Ball Covariance
Ranking and Aggregation
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  Authors: Wei Dai Heping Zhang Department of Biostatistics; Yale University, New Haven, CT
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Discovering the Network Granger Causality in Large Vector Autoregressive
Models
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  Authors: Yoshimasa Uematsu Takashi Yamagata a Department of Social Data Science; Hitotsubashi University, Kunitachi, Tokyo, Japan; b Department of Economics Related Studies, University of York, York, UK; c Institute of Social Economic Research, Osaka University, Ibaraki, Osaka, Japan
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An Adaptive Adjustment to the R2 Statistic in High-Dimensional Elliptical
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  Authors: Shizhe Hong Weiming Li Qiang Liu Yangchun Zhang a School of Statistics; Economics, Shanghai, China; b Department of Mathematics, Shanghai University, Shanghai, China
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Semiparametric Regression Analysis of Interval-Censored Multi-State Data
with An Absorbing State
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  Authors: Yu Gu Donglin Zeng D. Y. Lin a Department of Statistics; Data Science, The University of Hong Kong, Pokfulam, Hong Kong; b Department of Biostatistics, University of Michigan, Ann Arbor, MI; c Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
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  Citation: Journal of the American Statistical Association
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Inferences in Multinomial Dynamic Mixed Logit Models
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  Authors: Alwell Oyet Brajendra C. Sutradhar R. Prabhakar Rao a Department of Mathematics; Statistics, Memorial University, St. John’s, Canada; b Department of Economics, Sri Sathya Sai Institute of Higher Learning, Anantapur, India
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High-Dimensional Knockoffs Inference for Time Series Data
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  Authors: Chien-Ming Chi Yingying Fan Ching-Kang Ing Jinchi Lv a Institute of Statistical Science; Academia Sinica, Taipei, Taiwan; b Data Sciences Operations Department, Marshall School of Business, University of Southern California, Los Angeles, CA; c Institute of Statistics, National Tsing Hua University, Hsinchu, Taiwan
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Sparse Bayesian Group Factor Model for Feature Interactions in Multiple
Count Tables Data
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  Authors: Shuangjie Zhang Yuning Shen Irene A. Chen Juhee Lee a Department of Statistics; University of California Santa Cruz, Santa Cruz, CAb Department of Chemical Biomolecular Engineering, University of California Los Angeles, Los Angeles, CA
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Handbook of Bayesian, Fiducial, and Frequentist Inference
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  Authors: Mengyang Gu Department of Statistics; Applied Probability, University of California, Santa Barbara, Santa Barbara, CA
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Objective Bayesian Inference
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  Authors: Jaeyong Lee Seoul National University; Seoul, South Korea
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Immune Profiling Among Colorectal Cancer Subtypes Using Dependent Mixture
Models
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  Authors: Yunshan Duan Shuai Guo Wenyi Wang Peter Müller a Department of Statistics; University of Texas at Austin, Austin, TXb Department of Bioinformatics Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-25T04:14:47Z
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GeoWarp: Warped Spatial Processes for Inferring Subsea Sediment Properties
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  Authors: Michael Bertolacci Andrew Zammit-Mangion Juan Valderrama Giraldo Michael O’Neill Fraser Bransby Phil Watson a Department of Mathematics; Applied Statistics, University of Wollongong, Wollongong, Australiac Oceans Graduate School, The University of Western Australia, Perth, Australia
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  Citation: Journal of the American Statistical Association
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Adaptive Testing for High-Dimensional Data
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  Authors: Yangfan Zhang Runmin Wang Xiaofeng Shao a Two Sigma Investments; New York, NYb Department of Statistics, Texas A&M University, College Station, TXc Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, IL
  Pages: 1 - 13
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-18T02:17:05Z
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Robust Bayesian Modeling of Counts with Zero Inflation and Outliers:
Theoretical Robustness and Efficient Computation
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  Authors: Yasuyuki Hamura Kaoru Irie Shonosuke Sugasawa a Graduate School of Economics; Kyoto University, Sakyo, Kyoto, Japanb Faculty of Economics, The University of Tokyo, Bunkyo, Tokyo, Japanc Faculty of Economics, Keio University, Minato, Tokyo, Japan
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  Citation: Journal of the American Statistical Association
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Robust Inference for Federated Meta-Learning
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  Authors: Zijian Guo Xiudi Li Larry Han Tianxi Cai a Department of Statistics; Rutgers University, Piscataway, NJb Division of Biostatistics, University of California, Berkeley, CAc Department of Health Sciences, Northeastern University, Boston, MAd Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MAe Department of Biomedical Informatics, Harvard Medical School, Boston, MA
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  Citation: Journal of the American Statistical Association
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Comparison of Longitudinal Trajectories Using a High-Dimensional Partial
Linear Semiparametric Mixed-Effects Model
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  Authors: Sami Leon Tong Tong Wu Department of Biostatistics; Computational Biology, University of Rochester, Rochester, NY
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-18T02:06:58Z
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Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces
on Metric Spaces
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  Authors: Zhanfeng Wang Rui Pan Xueqin Wang Yuedong Wang a International Institute of Finance; The School of Management, University of Science Applied Probability, University of California, Santa Barbara, CA
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-11T07:54:33Z
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ROC Analysis for Classification and Prediction in Practice
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  Authors: Mauricio Tec Department of Biostatistics; Harvard University, Boston, MA
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-10T03:33:02Z
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A Bias-Accuracy-Privacy Trilemma for Statistical Estimation
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  Authors: Gautam Kamath Argyris Mouzakis Matthew Regehr Vikrant Singhal Thomas Steinke Jonathan Ullman a Cheriton School of Computer Science; University of Waterloo, Waterloo, ON, Canadab Google DeepMind, Mountain View, CAc Khoury College of Computer Sciences, Northeastern University, Boston MA
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-10T03:32:24Z
  DOI: 10.1080/01621459.2024.2443275
Estimation and Inference for Nonparametric Expected Shortfall Regression
over RKHS
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  Authors: Myeonghun Yu Yue Wang Siyu Xie Kean Ming Tan Wen-Xin Zhou a Department of Biostatistics; University of Michigan, Ann Arbor, MIb Faculty of Business for Science Decision Sciences, University of Illinois at Chicago, Chicago, IL
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-10T03:29:54Z
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Large Precision Matrix Estimation with Unknown Group Structure
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  Authors: Cong Cheng Yuan Ke Wenyang Zhang a Department of Statistics; University of Georgia, Athens, GAb Faculty of Business Administration, University of Macau, Taipa, Macau
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-10T03:26:48Z
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Sensitivity Analysis for Quantiles of Hidden Biases in Matched
Observational Studies
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  Authors: Dongxiao Wu Xinran Li a Department of Statistics; University of Illinois at Urbana-Champaign, Champaign, ILb Department of Statistics, University of Chicago, Chicago, IL
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-10T03:22:55Z
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Euclidean Mirrors and Dynamics in Network Time Series
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  Authors: Avanti Athreya Zachary Lubberts Youngser Park Carey Priebe a Department of Applied Mathematics; Statistics, Johns Hopkins University, Baltimore, MDb Department of Statistics, University of Virginia, Charlottesville, VAc Center of Imaging Science, Johns Hopkins University, Baltimore, MD
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-10T03:11:07Z
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Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings
and Ratings
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  Authors: Michael Pearce Elena A. Erosheva a Department of Mathematics; the Social Sciences, University of Washington, Seattle, WA
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  PubDate: 2025-02-05T03:04:46Z
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Estimation and Variable Selection for Interval-Censored Failure Time Data
with Random Change Point and Application to Breast Cancer Study
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  Authors: Mingyue Du Yichen Lou Jianguo Sun a School of Mathematics; Jilin University, Changchun, Chinab Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kongc Department of Statistics, University of Missouri, Columbia, MO, USA
  Pages: 1 - 12
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-05T03:02:01Z
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Deconvolution Density Estimation with Penalized MLE
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  Authors: Yun Cai Hong Gu Toby Kenney Department of Mathematics; Statistics, Dalhousie University, Halifax, Canada
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-02-05T02:59:35Z
  DOI: 10.1080/01621459.2024.2436686
Ordinal Data Analysis: Statistical Perspective with Applications
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  Authors: Maria Iannario University of Naples Federico II; Naples, Italy
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  PubDate: 2025-02-05T02:55:42Z
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Combining Broad and Narrow Case Definitions in Matched Case-Control
Studies: Firearms in the Home and Suicide Risk
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  Authors: Ting Ye Kan Chen Dylan Small a Department of Biostatistics; University of Washington, Seattle, WAb Department of Biostatistics, Harvard University, Cambridge, MAc Department of Statistics Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2025-01-31T07:31:15Z
  DOI: 10.1080/01621459.2024.2441519
Optimal Multitask Linear Regression and Contextual Bandits under Sparse
Heterogeneity
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  Authors: Xinmeng Huang Kan Xu Donghwan Lee Hamed Hassani Hamsa Bastani Edgar Dobriban a Graduate Group in Applied Mathematics; Data Science, University of Pennsylvania, Philadelphia, PA.
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-01-31T04:56:36Z
  DOI: 10.1080/01621459.2024.2439622
When Composite Likelihood meets Stochastic Approximation
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  Authors: Giuseppe Alfonzetti Ruggero Bellio Yunxiao Chen Irini Moustaki a Department of Economics; Political Science, London, UK
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-01-31T04:53:27Z
  DOI: 10.1080/01621459.2024.2436219
On the Comparative Analysis of Average Treatment Effects Estimation via
Data Combination
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  Authors: Peng Wu Shanshan Luo Zhi Geng School of Mathematics; Business University, Beijing, China
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-01-31T04:50:48Z
  DOI: 10.1080/01621459.2024.2435656
Inferring Causal Effect of a Digital Communication Strategy under a Latent
Sequential Ignorability Assumption and Treatment Noncompliance
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  Authors: Yuki Ohnishi Bikram Karmakar Wreetabrata Kar a Department of Biostatistics at the Yale School of Public Health; New Haven, CTb Department of Statistics at University of Florida, Gainesville, FLc School of Management, State University of New York at Buffalo, Buffalo, NY
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  Citation: Journal of the American Statistical Association
  PubDate: 2025-01-22T05:55:50Z
  DOI: 10.1080/01621459.2024.2435655
Soccer Analytics: An Introduction Using R
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  Authors: Alexander Aue University of California; Davis, Davis, CA
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Bayesian Clustering via Fusing of Localized Densities
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When Frictions Are Fractional: Rough Noise in High-Frequency Data
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  Authors: Carsten H. Chong Thomas Delerue Guoying Li a Department of Information Systems; Business Statistics Technology, Kowloon, Hong Kongb Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germanyc Department of Statistics, Columbia University, New York, NY
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Simulation-Based, Finite-Sample Inference for Privatized Data
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Unlocking Retrospective Prevalent Information in EHRs—A Revisit to the
Pairwise Pseudolikelihood
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  Authors: Nir Keret Malka Gorfine Department of Statistics; Operations Research, Tel Aviv University, Tel Aviv, Israel
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Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo
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  Authors: Qian Qin School of Statistics; University of Minnesota, Minneapolis, MN
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Spatio-Temporal Modeling for Record-Breaking Temperature Events in Spain
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  Authors: Jorge Castillo-Mateo Alan E. Gelfand Zeus Gracia-Tabuenca Jesús Asín Ana C. Cebrián a Department of Statistical Methods; University of Zaragoza, Zaragoza, Spainb Department of Statistical Science, Duke University, Durham, NC
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Partial Quantile Tensor Regression
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  Authors: Dayu Sun Limin Peng Zhiping Qiu Ying Guo Amita Manatunga a Department of Biostatistics; Statistics, Fujian Normal University, Fuzhou, China
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Bayesian Nonparametrics for Causal Inference and Missing Data
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Space-Time Extremes of Severe U.S. Thunderstorm Environments
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  Authors: Jonathan Koh Erwan Koch Anthony C. Davison a Institute of Mathematical Statistics; Environment, University of Lausanne, Lausanne, Switzerlandc Institute of Mathematics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity
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  Authors: Alex Diana Eleni Matechou Jim Griffin Douglas W. Yu Mingjie Luo Marie Tosa Alex Bush Richard A. Griffiths a School of Mathematics; Statistics Ecology, University of Kent, Canterbury, UK
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Local Signal Detection on Irregular Domains with Generalized Varying
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  Authors: Chengzhu Zhang Lan Xue Yu Chen Heng Lian Annie Qu a Department of Statistics; Oregon State University, Corvallis, ORb Department of Statistics Technology of China, Hefei, Chinac CityU Shenzhen Research Institute, Shenzhen, Chinad Department of Mathematics, City University of Hong Kong, Kowloon, Hong Konge Department of Statistics, University of California, Irvine, CA
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Quantification of Vaccine Waning as a Challenge Effect
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  Authors: Matias Janvin Mats J. Stensrud a Oslo Centre for Biostatistics; Epidemiology, University of Oslo, Oslo, Norwayb Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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Inferring Covariance Structure from Multiple Data Sources via Subspace
Factor Analysis
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  Authors: Noirrit Kiran Chandra David B. Dunson Jason Xu a Department of Mathematical Sciences; The University of Texas at Dallas, Richardson, TXb Department of Statistical Science, Duke University, Durham, NC
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Testing a Large Number of Composite Null Hypotheses Using Conditionally
Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies
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  Authors: Ryan Sun Zachary R. McCaw Xihong Lin a Department of Biostatistics; University of Texas MD Anderson Cancer Center, Houston, TXb Insitro, South San Francisco, CAc Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MAd Department of Statistics, Harvard University, Cambridge, MA
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Zigzag Path Connects Two Monte Carlo Samplers: Hamiltonian Counterpart to
a Piecewise Deterministic Markov Process
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  Authors: Akihiko Nishimura Zhenyu Zhang Marc A. Suchard a Department of Biostatistics; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MDb Department of Biostatistics, University of California, Los Angeles, Los Angeles, CAc Department of Biostatistics, Computational Medicine, Human Genetics, University of California, Los Angeles, Los Angeles, CA
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Two Sample Test for Covariance Matrices in Ultra-High Dimension
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  Authors: Xiucai Ding Yichen Hu Zhenggang Wang Department of Statistics; UC Davis, Davis, CA
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ℓ1-based Bayesian Ideal Point Model for Multidimensional Politics
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  Authors: Sooahn Shin Johan Lim Jong Hee Park a Department of Government; Harvard University, Cambridge, MAb Department of Statistics, Seoul National University, Seoul, South Koreac Department of Political Science International Relations, Seoul National University, Seoul, South Korea
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Coefficient Shape Alignment in Multiple Functional Linear Regression
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  Authors: Shuhao Jiao Ngai-Hang Chan Department of Biostatistics; City University of Hong Kong, Kowloon, Hong Kong
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A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary
Layer Velocity
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  Authors: Matthew Bonas David H. Richter Stefano Castruccio a Department of Applied; Earth Sciences, University of Notre Dame, Notre Dame, IN
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Statistical and Computational Efficiency for Smooth Tensor Estimation with
Unknown Permutations
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  Authors: Chanwoo Lee Miaoyan Wang Department of Statistics; University of Wisconsin-Madison, Madison, WI
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Deep Regression Learning with Optimal Loss Function
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  Authors: Xuancheng Wang Ling Zhou Huazhen Lin New Cornerstone Science Laboratory; Center of Statistical Research Economics, Chengdu, China
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Robust Permutation Tests in Linear Instrumental Variables Regression
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  Authors: Purevdorj Tuvaandorj York University; Toronto, Canada
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Model-Based Machine Learning
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  Authors: Emanuela Furfaro University of Washington; Seattle, WA
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Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian
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  Authors: Pascal Kündig Fabio Sigrist a Lucerne School of Business; Lucerne University of Applied Sciences Economics, University of Basel, Basel, Switzerland
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Functional Data Analysis with R
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  Authors: Piotr S. Kokoszka Department of Statistics; Colorado State University, Fort Collins, CO
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On the Modeling and Prediction of High-Dimensional Functional Time Series
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  Authors: Jinyuan Chang Qin Fang Xinghao Qiao Qiwei Yao a Joint Laboratory of Data Science; Economics, The University of Hong Kong, Pokfulam, Hong Kong, Chinaf Department of Statistics, London School of Economics, London, U.K.
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Probability Modeling and Statistical Inference in Cancer Screening
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  Authors: Li C. Cheung Biostatistics Branch; Division of Cancer Epidemiology Genetics, National Cancer Institute, Rockville, MD
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  PubDate: 2024-11-26T02:17:00Z
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Additive Covariance Matrix Models: Modeling Regional Electricity
Net-Demand in Great Britain
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  Authors: V. Gioia M. Fasiolo J. Browell R. Bellio a Department of Economic; Business, Mathematical Statistics, University of Udine, Udine, Italy
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Matrix GARCH Model: Inference and Application
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  Authors: Cheng Yu Dong Li Feiyu Jiang Ke Zhu a Department of Statistics; Data Science, University of Hong Kong, Pok Fu Lam, Hong Kong
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Spatial Modeling and Future Projection of Extreme Precipitation Extents
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  Authors: Peng Zhong Manuela Brunner Thomas Opitz Raphaël Huser a Data Science Hub; School of Mathematics Technology (KAUST), Thuwal, Saudi Arabia
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  PubDate: 2024-11-22T07:49:14Z
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Operationalizing Legislative Bodies: A Methodological and Empirical
Perspective with a Bayesian Approach
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  Authors: Carolina Luque Juan Sosa a Faculty of Engineering; Department of Basic Sciences, Universidad Ean, Bogotá, Colombiab Department of Statistics, Universidad Nacional de Colombia, Bogotá, Colombia
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Estimating Higher-Order Mixed Memberships via the [math] Tensor
Perturbation Bound
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  Authors: Joshua Agterberg Anru R. Zhang a Department of Statistics; University of Illinois Urbana-Champaign, Urbana, ILb Departments of Biostatistics & Bioinformatics, Computer Science, Mathematics, Statistical Science, Duke University, Durham, NC
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Adaptive Learning of the Latent Space of Wasserstein Generative
Adversarial Networks
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  Authors: Yixuan Qiu Qingyi Gao Xiao Wang a School of Statistics; Economics, Shanghai, P.R. Chinab Department of Statistics, Purdue University, West Lafayette, IN
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A Sparse Beta Regression Model for Network Analysis
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  Authors: Stefan Stein Rui Feng Chenlei Leng Department of Statistics; University of Warwick, Coventry, UK
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  PubDate: 2024-11-19T09:07:00Z
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Using Penalized Synthetic Controls on Truncated Data: A Case Study on
Effect of Marijuana Legalization on Direct Payments to Physicians by
Opioid Manufacturers
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  Authors: Bikram Karmakar Gourab Mukherjee Wreetabrata Kar a Department of Statistics; University of Florida, Gainesville, FLb Department of Data Sciences & Operations, University of Southern California, Los Angeles, CAc School of Management, State University of New York at Buffalo, Buffalo, NY
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  PubDate: 2024-11-19T08:58:16Z
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Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning
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  Authors: Ye Tian Yang Feng a Department of Statistics; Columbia University, New York, NYb Department of Biostatistics, School of Global Public Health, New York University, New York, NY
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  Citation: Journal of the American Statistical Association
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Optimal Network Pairwise Comparison
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  Authors: Jiashun Jin Zheng Tracy Ke Shengming Luo Yucong Ma a Department of Statistics; Carnegie Mellon University, Pittsburgh, PAb Department of Statistics, Harvard University, Cambridge, MA
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  PubDate: 2024-11-19T01:55:31Z
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A Model-Agnostic Graph Neural Network for Integrating Local and Global
Information
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  Authors: Wenzhuo Zhou Annie Qu Keiland W. Cooper Norbert Fortin Babak Shahbaba a Department of Statistics; University of California Irvine, Irvine, CAb Department of Neurobiology Behavior, University of California Irvine, Irvine, CA
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  PubDate: 2024-11-15T09:21:30Z
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Bisection Grover’s Search Algorithm and Its Application in Analyzing
CITE-seq Data
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  Authors: Ping Ma Yongkai Chen Haoran Lu Wenxuan Zhong Department of Statistics; University of Georgia, Athens, GA
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  PubDate: 2024-11-13T07:33:29Z
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Large-Scale Low-Rank Gaussian Process Prediction with Support Points
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  Authors: Yan Song Wenlin Dai Marc G. Genton a Institute of Statistics; Technology, Thuwal, Saudi Arabia
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Robust Estimation for Number of Factors in High Dimensional Factor
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On Optimality of Mallows Model Averaging
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
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  Authors: Raffaele Argiento Edoardo Filippi-Mazzola Lucia Paci a Department of Economics; Università degli studi di Bergamo, Bergamo, Italyb Institute of Computing, Università della Svizzera italiana, Lugano, Switzerlandc Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milano, Italy
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Valid Inference After Causal Discovery
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  Authors: Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan a Department of EECS; University of California, Berkeley, Berkeley, CAb Department of Statistics, University of Michigan, Ann Arbor, MIc Department of Statistics, University of California, Berkeley, Berkeley, CA
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Improving Tensor Regression by Optimal Model Averaging
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An Adaptive Transfer Learning Framework for Functional Classification
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  Authors: Caihong Qin Jinhan Xie Ting Li Yang Bai a School of Statistics; Data Analysis, Yunnan University, Kunming, China
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Model-Based Causal Feature Selection for General Response Types
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  Authors: Lucas Kook Sorawit Saengkyongam Anton Rask Lundborg Torsten Hothorn Jonas Peters a Institute for Statistics; Mathematics, WU Vienna, Vienna, Austriab Seminar for Statistics, ETH Zurich, Zurich, Switzerlandc Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmarkd Epidemiology, Biostatistics & Prevention Institute, University of Zurich, Zurich, Switzerland
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Off-Policy Evaluation in Doubly Inhomogeneous Environments
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  Authors: Zeyu Bian Chengchun Shi Zhengling Qi Lan Wang a Department of Management Science; University of Miami, Coral Gables, FLb Department of Statistics, London School of Economics Political Science, London, UKc Department of Decision Sciences, The George Washington University, Washington, DC
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Evaluating Treatment Prioritization Rules via Rank-Weighted Average
Treatment Effects
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  Authors: Steve Yadlowsky Scott Fleming Nigam Shah Emma Brunskill Stefan Wager a Google DeepMind; San Francisco, CAb Department of Biomedical Data Science, Stanford University, Stanford, CAc Center for Biomedical Informatics Research, Stanford University, Stanford, CAd Department of Computer Science, Stanford University, Stanford, CAe Graduate School of Business, Stanford University, Stanford, CA
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Semi-Supervised Triply Robust Inductive Transfer Learning
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  Authors: Tianxi Cai Mengyan Li Molei Liu a Department of Biostatistics; Harvard T.H. Chan School of Public Health, Boston, MAb Department of Biomedical Informatics, Harvard Medical School, Boston, MAc Department of Mathematical Sciences, Bentley University, Waltham, MAd Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY
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Robust Regression with Covariate Filtering: Heavy Tails and Adversarial
Contamination
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  Authors: Ankit Pensia Varun Jog Po-Ling Loh a Simons Institute for the Theory of Computing; UC Berkeley, Berkeley, CAb Department of Pure Mathematics Mathematical Statistics, University of Cambridge, Cambridge, UK
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Monte Carlo Inference for Semiparametric Bayesian Regression
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  Authors: Daniel R. Kowal Bohan Wu a Department of Statistics; Data Science, Cornell University, Ithaca, NYb Department of Statistics, Rice University, Houston, TXc Department of Statistics, Columbia University, New York, NY
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Natural Gradient Variational Bayes Without Fisher Matrix Analytic
Calculation and Its Inversion
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  Authors: A. Godichon-Baggioni D. Nguyen M.-N. Tran a Laboratoire de Probabilités; Statistique et Modélisation, Sorbonne-Université, Paris, Franceb Department of Mathematics, Marist College, Poughkeepsie, NYc Business Analytics Discipline, The University of Sydney Business School, Sydney, NSW, Australia
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Parallel Sampling of Decomposable Graphs Using Markov Chains on Junction
Trees
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  Authors: Mohamad Elmasri a Department of Statistical Sciences; University of Toronto, Toronto, ON, Canadab The Alan Turing Institute, London, United Kingdom
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Statistical Inference for Networks of High-Dimensional Point Processes
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  Authors: Xu Wang Mladen Kolar Ali Shojaie a Department of Biostatistics; University of Washington, Seattle, WAb University of Chicago Booth School of Business, Chicago, IL
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Optimal Network Membership Estimation under Severe Degree Heterogeneity
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  Authors: Zheng Tracy Ke Jingming Wang a Department of Statistics; Harvard University, Cambridge, MA; b Department of Statistics, University of Virginia, Charlottesville, VA
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Synthetic Likelihood in Misspecified Models
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  Authors: David T. Frazier David J. Nott Christopher Drovandi a Department of Econometrics; Analytics Cluster, National University of Singapore, Singapored School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
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Controlling the False Split Rate in Tree-Based Aggregation
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  Authors: Simeng Shao Jacob Bien Adel Javanmard a Amazon; Seattle, WAb Data Sciences Operations, University of Southern California, Los Angeles, CA
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Nonparametric Multiple-Output Center-Outward Quantile Regression
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  Authors: Eustasio del Barrio Alberto González Sanz Marc Hallin a IMUVA; Universidad de Valladolid, Valladolid, Spainb Department of Statistics, Columbia University, New York, NYc ECARES Automation, Czech Academy of Sciences, Prague, Czech Republic
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Efficient Multiple Change Point Detection and Localization For
High-Dimensional Quantile Regression with Heteroscedasticity
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  Authors: Xianru Wang Bin Liu Xinsheng Zhang Yufeng Liu a School of Statistics; Southwestern University of Finance Operations Research, Department of Genetics, Department of Biostatistics, Carolina Center for Genome Sciences, Linberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Matrix Completion When Missing Is Not at Random and Its Applications in
Causal Panel Data Models
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  Authors: Jungjun Choi Ming Yuan Department of Statistics; Columbia University, New York, NY
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Robust Matrix Completion with Heavy-Tailed Noise
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  Authors: Bingyan Wang Jianqing Fan Department of Operations Research; Financial Engineering, Princeton University, Princeton, NJ
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Statistical Inference for Hüsler–Reiss Graphical Models Through
Matrix Completions
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  Authors: Manuel Hentschel Sebastian Engelke Johan Segers a Research Center for Statistics; University of Geneva, Geneva, Switzerlandb ISBA/LIDAM, UCLouvain, Louvain-la-Neuve, Belgium
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Contextual Dynamic Pricing with Strategic Buyers
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  Authors: Pangpang Liu Zhuoran Yang Zhaoran Wang Will Wei Sun a Mitchell E. Daniels; Jr. School of Business, Purdue University, West Lafayette, INb Department of Statistics Management Sciences, Northwestern University, Evanston, IL
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Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors
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  Authors: Zhaoxing Gao Ruey S. Tsay a School of Mathematical Sciences; University of Electronic Science Technology of China, Chengdu, Sichuan, Chinab Center for Data Science, Zhejiang University, Hangzhou, Zhejiang, Chinac Booth School of Business, University of Chicago, Chicago, IL
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Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments
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  Authors: Xin Lu Hanzhong Liu Center for Statistical Science; Department of Industrial Engineering, Tsinghua University, Beijing, China
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Enhanced Response Envelope via Envelope Regularization
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  Authors: Oh-Ran Kwon Hui Zou a School of Statistics; University of Minnesota, Minneapolis, MNb Department of Data Sciences Operations, University of Southern California, Los Angeles, CA
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Test and Measure for Partial Mean Dependence Based on Machine Learning
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  Authors: Leheng Cai Xu Guo Wei Zhong a Center for Statistical Science; Tsinghua University, Beijing, Chinab Department of Industrial Engineering, Tsinghua University, Beijing, Chinac School of Statistics, Beijing Normal University, Beijing, Chinad MOE Key Lab of Econometrics, WISE, Xiamen University, Xiamen, Fujian, Chinae Department of Statistics Data Science, SOE, Xiamen University, Xiamen, Fujian, China
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  PubDate: 2024-08-30T04:27:17Z
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False Discovery Rate Control For Structured Multiple Testing: Asymmetric
Rules And Conformal Q-values
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  Authors: Zinan Zhao Wenguang Sun a Center for Data Science; School of Management, Zhejiang University, Hangzhou, China
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Node-Level Community Detection within Edge Exchangeable Models for
Interaction Processes
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  Authors: Yuhua Zhang Walter Dempsey Department of Biostatistics; University of Michigan, Ann Arbor, MI
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Distributed Heterogeneity Learning for Generalized Partially Linear Models
with Spatially Varying Coefficients
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  Authors: Shan Yu Guannan Wang Li Wang a Department of Statistics; University of Virginia, Charlottesville, VAb Department of Mathematics, College of William & Mary, Williamsburg, VAc Department of Statistics, George Mason University, Fairfax, VA
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  PubDate: 2024-06-28T04:09:00Z
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Mediation Analysis with the Mediator and Outcome Missing Not at Random
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  Authors: Shuozhi Zuo Debashis Ghosh Peng Ding Fan Yang a Department of Biostatistics; Applications, Beijing, China
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Population-Level Balance in Signed Networks
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  Authors: Weijing Tang Ji Zhu a Department of Statistics; Data Science, Carnegie Mellon University, Pittsburgh, PAb Department of Statistics, University of Michigan, Ann Arbor, MI
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Neural Networks for Geospatial Data
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  Authors: Wentao Zhan Abhirup Datta Department of Biostatistics; Johns Hopkins University, Baltimore, MD
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  PubDate: 2024-06-24T05:52:25Z
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Doubly Robust Augmented Model Accuracy Transfer Inference with High
Dimensional Features
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  Authors: Doudou Zhou Molei Liu Mengyan Li Tianxi Cai a Department of Biostatistics; Harvard T.H. Chan School of Public Health, Boston, MAb Department of Statistics Data Science, National University of Singapore, Singaporec Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NYd Department of Mathematical Sciences, Bentley University, Waltham, MAe Department of Biomedical Informatics, Harvard Medical School, Boston, MA
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Rational Kriging
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  Authors: V. Roshan Joseph H. Milton Stewart School of Industrial; Systems Engineering, Georgia Institute of Technology, Atlanta, GA
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-06-21T01:58:30Z
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Generalized Data Thinning Using Sufficient Statistics
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  Authors: Ameer Dharamshi Anna Neufeld Keshav Motwani Lucy L. Gao Daniela Witten Jacob Bien a Department of Biostatistics; University of Washington, Seattle, WAb Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WAc Department of Statistics, University of British Columbia, Vancouver, Canadad Departments of Biostatistics Operations, University of Southern California, Los Angeles, CA
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-06-13T12:57:41Z
  DOI: 10.1080/01621459.2024.2353948
Distribution-Free Prediction Intervals Under Covariate Shift, With an
Application to Causal Inference
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  Authors: Jing Qin Yukun Liu Moming Li Chiung-Yu Huang a National Institute of Allergy; Biostatistics, University of California at San Francisco, San Francisco, CA
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-06-12T01:10:31Z
  DOI: 10.1080/01621459.2024.2356886
Controlled Discovery and Localization of Signals via Bayesian Linear
Programming
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  Authors: Asher Spector Lucas Janson a Department of Statistics; Stanford University, Stanford, CAb Department of Statistics, Harvard University, Cambridge, MA
  Pages: 1 - 12
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-06-11T02:15:22Z
  DOI: 10.1080/01621459.2024.2347667
Randomness of Shapes and Statistical Inference on Shapes via the Smooth
Euler Characteristic Transform
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  Authors: Kun Meng Jinyu Wang Lorin Crawford Ani Eloyan a Division of Applied Mathematics; Brown University, Providence, RIb Data Science Institute, Brown University, Providence, RIc Department of Biostatistics, Brown University School of Public Health, Providence, RId Microsoft Research New England, Cambridge, MA
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-31T06:36:54Z
  DOI: 10.1080/01621459.2024.2353947
Graph-Aligned Random Partition Model (GARP)
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  Authors: Giovanni Rebaudo Peter Müller a University of Torino; Turin, Italyb University of Texas at Austin, Austin, TX
  Pages: 1 - 22
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-30T01:04:19Z
  DOI: 10.1080/01621459.2024.2353943
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators
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  Authors: Runze LiWeiming LiQinwen Wanga Department of Statistics; Pennsylvania State University, University Park, PAb School of Statistics Economics, Shanghai, P.R. Chinac School of Data Science, Fudan University, Shanghai, P.R. China
  Pages: 1 - 14
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-24T01:44:30Z
  DOI: 10.1080/01621459.2024.2350573
Modeling and Learning on High-Dimensional Matrix-Variate Sequences
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  Authors: Xu ZhangCatherine C. LiuJianhua GuoK. C. YuenA. H. Welsha South China Normal University; Guangzhou, Chinab The Hong Kong Polytechnic University, Hung Hom, HKSARc Beijing Technology Business University, Beijing, Chinad The University of Hong Kong, Hong Kong, HKSARe The Australian National University, Canberra, Australia
  Pages: 1 - 16
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-24T01:39:34Z
  DOI: 10.1080/01621459.2024.2344687
Testing the Number of Common Factors by Bootstrapped Sample Covariance
Matrix in High-Dimensional Factor Models
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  Authors: Long YuPeng ZhaoWang Zhoua School of Statistics; Data Science, National University of Singapore, Singapore
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-20T04:39:31Z
  DOI: 10.1080/01621459.2024.2346364
Selection and Aggregation of Conformal Prediction Sets
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  Authors: Yachong YangArun Kumar Kuchibhotlaa Department of Statistics; Data Science, Carnegie Mellon University, Pittsburgh, PA
  Pages: 1 - 13
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-20T04:39:03Z
  DOI: 10.1080/01621459.2024.2344700
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for
Semi-Supervised Learning
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  Authors: Tengyao WangEdgar DobribanMilana GataricRichard J. Samwortha Department of Statistics; London School of Economics, London, UKb Department of Statistics Data Science, University of Pennsylvania, Philadelphia, PAc Statistical Laboratory, University of Cambridge, Cambridge, UK
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-20T04:31:08Z
  DOI: 10.1080/01621459.2024.2340792
Efficient Nonparametric Estimation of Stochastic Policy Effects with
Clustered Interference
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  Authors: Chanhwa LeeDonglin ZengMichael G. Hudgensa Department of Biostatistics; University of North Carolina at Chapel Hill, Chapel Hill, NCb Department of Biostatistics, University of Michigan Ann Arbor, Ann Arbor, MI
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-20T04:28:57Z
  DOI: 10.1080/01621459.2024.2340789
Inferring Independent Sets of Gaussian Variables after Thresholding
Correlations
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  Authors: Arkajyoti SahaDaniela WittenJacob Biena Department of Statistics; University of Washington, Seattle, WAb Department of Biostatistics, University of Washington, Seattle, WAc Department of Data Sciences Operations, University of Southern California, Los Angeles, CA
  Pages: 1 - 12
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-20T04:15:24Z
  DOI: 10.1080/01621459.2024.2337158
Extreme Value Statistics in Semi-Supervised Models
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  Authors: Hanan AhmedJohn H.J. EinmahlChen Zhoua Tilburg University; Tilburg, Netherlandsb Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-15T02:12:04Z
  DOI: 10.1080/01621459.2024.2333582
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional
Conjugacy
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  Authors: Antonio R. LineroDepartment of Statistics; Data Sciences, University of Texas at Austin, Austin, TX
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-14T03:25:31Z
  DOI: 10.1080/01621459.2024.2337156
Sobolev Calibration of Imperfect Computer Models
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  Authors: Qingwen ZhangWenjia Wanga Division of Emerging Interdisciplinary Areas; The Hong Kong University of Science Technology, Kowloon, Hong Kong
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-05-13T02:03:19Z
  DOI: 10.1080/01621459.2024.2340793
CARE: Large Precision Matrix Estimation for Compositional Data
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  Authors: Shucong ZhangHuiyuan WangWei Lina School of Statistics; University of International Business Center for Statistical Science, Peking University, Beijing, China
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-04-29T01:50:36Z
  DOI: 10.1080/01621459.2024.2335586
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary
Information
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  Authors: Shujie MaPo-Yao NiuYichong ZhangYinchu Zhua Department of Statistics; University of California at Riverside, Riverside, CAb School of Economics, Singapore Management University, Singaporec Department of Economics, Brandeis University, Waltham, MA
  Pages: 1 - 13
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-04-24T03:48:18Z
  DOI: 10.1080/01621459.2024.2335591
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with
Unmeasured Confounding
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  Authors: Jacob DornKevin GuoNathan Kallusa Princeton University; Princeton, NJb Stanford University, Stanford, CAc Cornell University, New York, NY
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-04-24T03:38:47Z
  DOI: 10.1080/01621459.2024.2335588
Automatic Regenerative Simulation via Non-Reversible Simulated Tempering
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  Authors: Miguel Biron-LattesTrevor CampbellAlexandre Bouchard-CôtéDepartment of Statistics; University of British Columbia, Vancouver, Canada
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-04-24T03:28:45Z
  DOI: 10.1080/01621459.2024.2335587
Modeling Recurrent Failures on Large Directed Networks
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  Authors: Qingqing ZhaiZhisheng YeCheng LiMatthew RevieDavid B. Dunsona School of Management; Shanghai University, Shanghai, Chinab Department of Industrial Systems Engineering & Management, National University of Singapore, Singaporec Department of Statistics Data Science, National University of Singapore, Singapored Department of Management Science, University of Strathclyde, Glasgow, UKe Department of Statistical Science & Mathematics, Duke University, Durham, NC
  Pages: 1 - 15
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  Citation: Journal of the American Statistical Association
  PubDate: 2024-04-01T02:39:47Z
  DOI: 10.1080/01621459.2024.2319897
Robust Personalized Federated Learning with Sparse Penalization
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  Authors: Weidong LiuXiaojun MaoXiaofei ZhangXin Zhanga School of Mathematical Sciences; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, Chinab School of Mathematical Sciences, Ministry of Education Key Laboratory of Scientific Law, Wuhan, Chinad Department of Statistics, Iowa State University, Ames, IA
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-04-01T02:39:41Z
  DOI: 10.1080/01621459.2024.2321652
Doubly Flexible Estimation under Label Shift
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  Authors: Seong-ho LeeYanyuan MaJiwei Zhaoa Department of Statistics; University of Seoul, Seoul, South Koreab Department of Statistics, Pennsylvania State University, University Park, PAc Department of Biostatistics Medical Informatics, University of Wisconsin-Madison, Madison, WI
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-03-19T12:43:11Z
  DOI: 10.1080/01621459.2024.2321653
Confidence Intervals for Parameters of Unobserved Events
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  Authors: Amichai PainskyDepartment of Industrial Engineering; Tel Aviv University, Tel Aviv, Israel
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-03-19T12:40:11Z
  DOI: 10.1080/01621459.2024.2314318
Ranking Inferences Based on the Top Choice of Multiway Comparisons
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  Authors: Jianqing FanZhipeng LouWeichen WangMengxin Yua Operations Research; Data Science, The Wharton School at the University of Pennsylvania, Philadelphia, PA
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-03-13T02:32:36Z
  DOI: 10.1080/01621459.2024.2316364
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model
for High-Dimensional Time Series
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  Authors: Yao ZhengDepartment of Statistics; University of Connecticut, Storrs, CT
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-03-11T02:07:09Z
  DOI: 10.1080/01621459.2024.2311365
Model-Free Statistical Inference on High-Dimensional Data
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  Authors: Xu GuoRunze LiZhe ZhangChangliang Zoua School of Statistics; Beijing Normal University, Beijing, Chinab Department of Statistics, The Pennsylvania State University, University Park, PAc School of Statistics Data Science, Nankai University, Tianjin, China
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-03-08T08:51:10Z
  DOI: 10.1080/01621459.2024.2310314
Stochastic Low-Rank Tensor Bandits for Multi-Dimensional Online Decision
Making
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  Authors: Jie ZhouBotao HaoZheng WenJingfei ZhangWill Wei Suna Amazon; Seattle, WAb Deepmind, Mountain View, CAc Goizueta Business School, Emory University, Atlanta, GAd Daniels School of Business, Purdue University, West Lafayette, IN
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2024-03-07T03:47:06Z
  DOI: 10.1080/01621459.2024.2311364

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