Publisher: American Statistical Association
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Journal of the American Statistical Association
Journal Prestige (SJR): 3.746 ![]() Citation Impact (citeScore): 2 Number of Followers: 75 ![]() ISSN (Print) 0162-1459 - ISSN (Online) 1537-274X Published by American Statistical Association ![]() |
- The Potential of Factor Analysis for Replication, Generalization, and
Integration-
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Authors: Paul De Boeck, Michael L. DeKay, Menglin Xu
Pages: 1622 - 1626
Abstract: Volume 117, Issue 540, December 2022, Page 1622-1626
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Citation: Journal of the American Statistical Association
PubDate: 2023-01-03T08:56:21Z
DOI: 10.1080/01621459.2022.2096618
Issue No: Vol. 117, No. 540 (2023)
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- Modeling and Learning From Variation and Covariation
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Authors: Blakeley B. McShane, Ulf Böckenholt, Karsten T. Hansen
Pages: 1627 - 1630
Abstract: Volume 117, Issue 540, December 2022, Page 1627-1630
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Citation: Journal of the American Statistical Association
PubDate: 2023-01-03T08:58:42Z
DOI: 10.1080/01621459.2022.2117703
Issue No: Vol. 117, No. 540 (2023)
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- Semiparametric Regression with R
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Authors: Zixiao Wang, Yi Feng, Lin Liu
Pages: 2283 - 2287
Abstract: Volume 117, Issue 540, December 2022, Page 2283-2287
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Citation: Journal of the American Statistical Association
PubDate: 2023-01-03T08:56:35Z
DOI: 10.1080/01621459.2022.2139707
Issue No: Vol. 117, No. 540 (2023)
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- Network Inference Using the Hub Model and Variants
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Authors: Zhibing He, Yunpeng Zhao, Peter Bickel, Charles Weko, Dan Cheng, Jirui Wang
Pages: 1 - 10
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-22T05:40:37Z
DOI: 10.1080/01621459.2023.2183133
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- Causal Inference in Transcriptome-Wide Association Studies with Invalid
Instruments and GWAS Summary Data-
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Authors: Haoran Xue, Xiaotong Shen, Wei Pan
Pages: 1 - 27
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-17T09:56:19Z
DOI: 10.1080/01621459.2023.2183127
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- Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling
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Authors: Qi Xu, Yubai Yuan, Junhui Wang, Annie Qu
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-16T03:52:42Z
DOI: 10.1080/01621459.2023.2178925
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- Intraday Periodic Volatility Curves
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Authors: Torben G. Andersen, Tao Su, Viktor Todorov, Zhiyuan Zhang
Pages: 1 - 11
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-16T03:42:56Z
DOI: 10.1080/01621459.2023.2177546
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- Nonlinear Causal Discovery with Confounders
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Authors: Chunlin Li, Xiaotong Shen, Wei Pan
Pages: 1 - 10
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-15T08:32:02Z
DOI: 10.1080/01621459.2023.2179490
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- Solving Estimating Equations With Copulas
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Authors: Thomas Nagler, Thibault Vatter
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-09T08:11:38Z
DOI: 10.1080/01621459.2023.2177545
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- Bayesian Modeling with Spatial Curvature Processes
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Authors: Aritra Halder, Sudipto Banerjee, Dipak K. Dey
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-08T05:34:55Z
DOI: 10.1080/01621459.2023.2177166
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- A Two-Sample Conditional Distribution Test Using Conformal Prediction and
Weighted Rank Sum-
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Authors: Xiaoyu Hu, Jing Lei
Pages: 1 - 19
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-08T05:33:56Z
DOI: 10.1080/01621459.2023.2177165
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- Optimal Linear Discriminant Analysis for High-Dimensional Functional Data
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Authors: Kaijie Xue, Jin Yang, Fang Yao
Pages: 1 - 10
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-08T05:33:38Z
DOI: 10.1080/01621459.2022.2164288
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- Copula Based Cox Proportional Hazards Models for Dependent Censoring
-
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Authors: Negera Wakgari Deresa, Ingrid Van Keilegom
Pages: 1 - 11
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-08T05:31:29Z
DOI: 10.1080/01621459.2022.2161387
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- Skeleton Clustering: Dimension-Free Density-Aided Clustering
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Authors: Zeyu Wei, Yen-Chi Chen
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-06T07:13:35Z
DOI: 10.1080/01621459.2023.2174122
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- Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A
Review and New Results-
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Authors: Niccolò Anceschi, Augusto Fasano, Daniele Durante, Giacomo Zanella
Pages: 1 - 19
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-03-03T04:50:44Z
DOI: 10.1080/01621459.2023.2169150
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- Kernel Estimation of Bivariate Time-Varying Coefficient Model for
Longitudinal Data with Terminal Event-
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Authors: Yue Wang, Bin Nan, John D. Kalbfleisch
Pages: 1 - 10
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-28T09:33:03Z
DOI: 10.1080/01621459.2023.2169702
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- Compositional Graphical Lasso Resolves the Impact of Parasitic Infection
on Gut Microbial Interaction Networks in a Zebrafish Model-
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Authors: Chuan Tian, Duo Jiang, Austin Hammer, Thomas Sharpton, Yuan Jiang
Pages: 1 - 15
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-28T09:32:44Z
DOI: 10.1080/01621459.2022.2164287
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- A Correlated Network Scale-Up Model: Finding the Connection Between
Subpopulations-
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Authors: Ian Laga, Le Bao, Xiaoyue Niu
Pages: 1 - 10
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-28T09:32:24Z
DOI: 10.1080/01621459.2023.2165929
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- On Semiparametrically Dynamic Functional-Coefficient Autoregressive
Spatio-Temporal Models with Irregular Location Wide Nonstationarity
Open Access Article
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Authors: Zudi Lu, Xiaohang Ren, Rongmao Zhang
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-28T09:32:01Z
DOI: 10.1080/01621459.2022.2161386
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- A General M-estimation Theory in Semi-Supervised Framework
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Authors: Shanshan Song, Yuanyuan Lin, Yong Zhou
Pages: 1 - 11
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-28T09:31:53Z
DOI: 10.1080/01621459.2023.2169699
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- Confidently Comparing Estimates with the c-value
Open Access Article
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Authors: Brian L. Trippe, Sameer K. Deshpande, Tamara Broderick
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-24T03:35:32Z
DOI: 10.1080/01621459.2022.2153688
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- Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear
Causal Models
Open Access Article
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Authors: Christoph Schultheiss, Peter Bühlmann, Ming Yuan
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-24T03:30:31Z
DOI: 10.1080/01621459.2022.2157728
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- Variational Bayes for Fast and Accurate Empirical Likelihood Inference
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Authors: Weichang Yu, Howard D. Bondell
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-21T03:23:52Z
DOI: 10.1080/01621459.2023.2169701
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- Are Latent Factor Regression and Sparse Regression Adequate'
-
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Authors: Jianqing Fan, Zhipeng Lou, Mengxin Yu
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-14T04:34:32Z
DOI: 10.1080/01621459.2023.2169700
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- Guaranteed Functional Tensor Singular Value Decomposition
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Authors: Rungang Han, Pixu Shi, Anru R. Zhang
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-06T02:42:28Z
DOI: 10.1080/01621459.2022.2153689
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- Genetic Underpinnings of Brain Structural Connectome for Young Adults
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Authors: Yize Zhao, Changgee Chang, Jingwen Zhang, Zhengwu Zhang
Pages: 1 - 15
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-02-06T02:42:21Z
DOI: 10.1080/01621459.2022.2156349
-
- Bayesian Robustness: A Nonasymptotic Viewpoint
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Authors: Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett, Michael I. Jordan
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-30T03:32:59Z
DOI: 10.1080/01621459.2023.2174121
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- Partially Linear Additive Regression with a General Hilbertian Response
Open Access Article
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Authors: Sungho Cho, Jeong Min Jeon, Dongwoo Kim, Kyusang Yu, Byeong U. Park
Pages: 1 - 15
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-20T07:31:04Z
DOI: 10.1080/01621459.2022.2149407
-
- Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with
Statin Usage: Evidence from Electronic Health Record Data-
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Authors: Xinzhou Guo, Waverly Wei, Molei Liu, Tianxi Cai, Chong Wu, Jingshen Wang
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-20T07:31:03Z
DOI: 10.1080/01621459.2022.2157727
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- Crime in Philadelphia: Bayesian Clustering with Particle Optimization
Open Access Article
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Authors: Cecilia Balocchi, Sameer K. Deshpande, Edward I. George, Shane T. Jensen
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-18T06:52:41Z
DOI: 10.1080/01621459.2022.2156348
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- A Flexible Zero-Inflated Poisson-Gamma Model with Application to
Microbiome Sequence Count Data-
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Authors: Roulan Jiang, Xiang Zhan, Tianying Wang
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-17T02:36:26Z
DOI: 10.1080/01621459.2022.2151447
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- Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional
Covariates-
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Authors: Wei Qian, Ching-Kang Ing, Ji Liu
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-11T07:58:50Z
DOI: 10.1080/01621459.2022.2152343
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- Proximal Learning for Individualized Treatment Regimes Under Unmeasured
Confounding-
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Authors: Zhengling Qi, Rui Miao, Xiaoke Zhang
Pages: 1 - 14
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-11T07:54:39Z
DOI: 10.1080/01621459.2022.2147841
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- Finite-dimensional Discrete Random Structures and Bayesian Clustering
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Authors: Antonio Lijoi, Igor Prünster, Tommaso Rigon
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-11T07:54:38Z
DOI: 10.1080/01621459.2022.2149406
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- Simultaneous Decorrelation of Matrix Time Series
Open Access Article
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Authors: Yuefeng Han, Rong Chen, Cun-Hui Zhang, Qiwei Yao
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-11T07:54:38Z
DOI: 10.1080/01621459.2022.2151448
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- A Random Projection Approach to Hypothesis Tests in High-Dimensional
Single-Index Models-
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Authors: Changyu Liu, Xingqiu Zhao, Jian Huang
Pages: 1 - 11
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-11T07:54:38Z
DOI: 10.1080/01621459.2022.2156350
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- Feature Screening for Interval-Valued Response with Application to Study
Association between Posted Salary and Required Skills-
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Authors: Wei Zhong, Chen Qian, Wanjun Liu, Liping Zhu, Runze Li
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-11T07:50:22Z
DOI: 10.1080/01621459.2022.2152342
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- Robust Inference and Modeling of Mean and Dispersion for Generalized
Linear Models-
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Authors: Jolien Ponnet, Pieter Segaert, Stefan Van Aelst, Tim Verdonck
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-11T07:42:35Z
DOI: 10.1080/01621459.2022.2140054
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- Fair Policy Targeting
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Authors: Davide Viviano, Jelena Bradic
Pages: 1 - 14
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-10T06:57:24Z
DOI: 10.1080/01621459.2022.2142591
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- Valid Model-Free Spatial Prediction
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Authors: Huiying Mao, Ryan Martin, Brian J. Reich
Pages: 1 - 11
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2023-01-05T02:14:46Z
DOI: 10.1080/01621459.2022.2147531
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- Projection Test for Mean Vector in High Dimensions
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Authors: Wanjun Liu, Xiufan Yu, Wei Zhong, Runze Li
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T04:12:39Z
DOI: 10.1080/01621459.2022.2142592
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- Optimal Design of Experiments on Riemannian Manifolds
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Authors: Hang Li, Enrique Del Castillo
Pages: 1 - 12
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T04:12:17Z
DOI: 10.1080/01621459.2022.2146587
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- Causal Inference for Social Network Data
Open Access Article
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Authors: Elizabeth L. Ogburn, Oleg Sofrygin, Iván Díaz, Mark J. van der Laan
Pages: 1 - 15
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T04:10:12Z
DOI: 10.1080/01621459.2022.2131557
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- Two-Way Truncated Linear Regression Models with Extremely Thresholding
Penalization-
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Authors: Hao Yang Teng, Zhengjun Zhang
Pages: 1 - 17
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T04:05:41Z
DOI: 10.1080/01621459.2022.2147074
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- Matching on Generalized Propensity Scores with Continuous Exposures
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Authors: Xiao Wu, Fabrizia Mealli, Marianthi-Anna Kioumourtzoglou, Francesca Dominici, Danielle Braun
Pages: 1 - 29
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T03:57:23Z
DOI: 10.1080/01621459.2022.2144737
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- Nonparametric Two-Sample Tests of High Dimensional Mean Vectors via Random
Integration-
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Authors: Yunlu Jiang, Xueqin Wang, Canhong Wen, Yukang Jiang, Heping Zhang
Pages: 1 - 14
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T03:54:25Z
DOI: 10.1080/01621459.2022.2141636
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- Stochastic Convergence Rates and Applications of Adaptive Quadrature in
Bayesian Inference
Open Access Article
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Authors: Blair Bilodeau, Alex Stringer, Yanbo Tang
Pages: 1 - 11
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T03:51:39Z
DOI: 10.1080/01621459.2022.2141635
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- Learning Coefficient Heterogeneity over Networks: A Distributed
Spanning-Tree-Based Fused-Lasso Regression-
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Authors: Xin Zhang, Jia Liu, Zhengyuan Zhu
Pages: 1 - 13
Abstract: .
Citation: Journal of the American Statistical Association
PubDate: 2022-12-12T03:49:33Z
DOI: 10.1080/01621459.2022.2126363
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- Robust High-Dimensional Regression with Coefficient Thresholding and Its
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- Sampling: Design and Analysis, 3rd ed.
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- Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via
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- A Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors
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- Ultra-High Dimensional Quantile Regression for Longitudinal Data: An
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- Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures
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- Modeling and Active Learning for Experiments with Quantitative-Sequence
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- Interpolating Population Distributions using Public-Use Data: An
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- To Adjust or not to Adjust' Estimating the Average Treatment Effect in
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- Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models
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- Fast and Numerically Stable Particle-Based Online Additive Smoothing: The
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- Subspace Estimation with Automatic Dimension and Variable Selection in
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- Optimal One-Pass Nonparametric Estimation Under Memory Constraint
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- Optimal Nonparametric Inference with Two-Scale Distributional Nearest
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- Off-Policy Confidence Interval Estimation with Confounded Markov Decision
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- iProMix: A Mixture Model for Studying the Function of ACE2 based on Bulk
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- Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen
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- Statistically Efficient Advantage Learning for Offline Reinforcement
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- An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of
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- Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces
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- Bias-Correction and Test for Mark-Point Dependence with Replicated Marked
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- Conformal Sensitivity Analysis for Individual Treatment Effects
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- Low-Rank Regression Models for Multiple Binary Responses and their
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- A Generalized Integration Approach to Association Analysis with
Multi-category Outcome: An Application to a Tumor Sequencing Study of
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- Heavy-Tailed Density Estimation
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- Nonparametric Estimation of Repeated Densities with Heterogeneous Sample
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- A New and Unified Family of Covariate Adaptive Randomization Procedures
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- Randomization-based Joint Central Limit Theorem and Efficient Covariate
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- LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures
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- Latent Network Structure Learning From High-Dimensional Multivariate Point
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- Hypothesis Tests for Structured Rank Correlation Matrices
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- Online Bootstrap Inference For Policy Evaluation In Reinforcement Learning
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- Set-Valued Support Vector Machine with Bounded Error Rates
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- Mapping the Genetic-Imaging-Clinical Pathway with Applications to
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- Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress
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- Conditional Separable Effects
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- Rank-Based Greedy Model Averaging for High-Dimensional Survival Data
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- Causal Structural Learning on MPHIA Individual Dataset
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- Approximate Selective Inference via Maximum Likelihood
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- Improved Small Domain Estimation via Compromise Regression Weights
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- Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework
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- Transformation-Invariant Learning of Optimal Individualized Decision Rules
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- Efficient Estimation for Censored Quantile Regression
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- Transfer Learning Under High-Dimensional Generalized Linear Models
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- Inference for Local Parameters in Convexity Constrained Models
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PubDate: 2022-06-09T07:36:26Z
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- A Bayesian Approach to Multiple-Output Quantile Regression
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- Multiple Change Point Detection in Reduced Rank High Dimensional Vector
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PubDate: 2022-06-06T07:34:28Z
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- The Maximum of the Periodogram of a Sequence of Functional Data
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- Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile
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- Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling
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- Covariance Estimation for Matrix-valued Data
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- False Discovery Rate Control via Data Splitting
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PubDate: 2022-05-25T05:51:59Z
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- Covariate-Assisted Sparse Tensor Completion
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- Self-supervised Metric Learning in Multi-View Data: A Downstream Task
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- Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and
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- Functional Mixed Effects Clustering with Application to Longitudinal
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PubDate: 2022-05-13T06:43:54Z
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- Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian
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- Model-Free Conditional Feature Screening with FDR Control
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- Random Surface Covariance Estimation by Shifted Partial Tracing
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- Bayesian Modeling of Sequential Discoveries
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- Variation and Covariation in Large-Scale Replication Projects: An
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- Metropolis–Hastings via Classification
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- Distribution-Free Prediction Sets for Two-Layer Hierarchical Models
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- Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs
Sampling in “Large n, Large p” Bayesian Sparse Regression
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- Sharp Nonparametric Bounds for Decomposition Effects with Two Binary
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PubDate: 2022-04-27T04:10:13Z
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- Efficient Estimation in the Fine and Gray Model
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PubDate: 2022-04-25T09:03:03Z
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- Efficient Fully Distribution-Free Center-Outward Rank Tests for
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PubDate: 2022-04-20T12:45:41Z
DOI: 10.1080/01621459.2021.2021921
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- A General Pairwise Comparison Model for Extremely Sparse Networks
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PubDate: 2022-04-15T01:46:40Z
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- Sparse Reduced Rank Huber Regression in High Dimensions
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- Survival Analysis via Ordinary Differential Equations
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PubDate: 2022-04-11T04:23:07Z
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- Robust Estimation of Large Panels with Factor Structures
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- On Robustness of Individualized Decision Rules
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PubDate: 2022-04-11T04:19:03Z
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- Estimation of Copulas via Maximum Mean Discrepancy
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- Generalized Liquid Association Analysis for Multimodal Data Integration
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- Testing the Effects of High-Dimensional Covariates via Aggregating
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PubDate: 2022-03-27T04:41:03Z
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- Understanding Implicit Regularization in Over-Parameterized Single Index
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- Toward Better Practice of Covariate Adjustment in Analyzing Randomized
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- A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial
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- Transfer Learning in Large-Scale Gaussian Graphical Models with False
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- Coordinatewise Gaussianization: Theories and Applications
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- Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models
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PubDate: 2022-03-18T04:52:50Z
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- Adaptive Conditional Distribution Estimation with Bayesian Decision Tree
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- Optimal Estimation of the Number of Network Communities
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PubDate: 2022-03-17T04:34:36Z
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- Kernel Knockoffs Selection for Nonparametric Additive Models
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PubDate: 2022-03-14T06:32:52Z
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- High-Dimensional Gaussian Graphical Regression Models with Covariates
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PubDate: 2022-03-14T06:32:32Z
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- Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric
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PubDate: 2022-03-14T06:30:17Z
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- Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement
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PubDate: 2022-03-14T06:30:13Z
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- Real-Time Regression Analysis of Streaming Clustered Data With Possible
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PubDate: 2022-03-14T06:27:21Z
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- A Wavelet-Based Independence Test for Functional Data With an Application
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PubDate: 2022-03-14T06:26:26Z
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- Semiparametric Goodness-of-Fit Test for Clustered Point Processes with a
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PubDate: 2022-03-11T02:44:11Z
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- Bayesian Bootstrap Spike-and-Slab LASSO
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- Score Matching for Compositional Distributions
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PubDate: 2022-03-03T03:22:31Z
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- Time-to-Event Analysis with Unknown Time Origins via Longitudinal
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PubDate: 2022-02-28T03:29:07Z
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- Identifying Effects of Multiple Treatments in the Presence of Unmeasured
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- Statistical Inference with Local Optima
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- A Deep Generative Approach to Conditional Sampling
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PubDate: 2022-02-03T06:30:21Z
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- Orthogonalized Kernel Debiased Machine Learning for Multimodal Data
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- Tukey’s Depth for Object Data
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- Fairness-Oriented Learning for Optimal Individualized Treatment Rules
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PubDate: 2022-02-03T06:22:34Z
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- Sparse Topic Modeling: Computational Efficiency, Near-Optimal Algorithms,
and Statistical Inference-
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PubDate: 2022-01-31T04:42:57Z
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- Spectral Density Estimation for Nonstationary Data With Nonzero Mean
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PubDate: 2022-01-31T04:40:27Z
DOI: 10.1080/01621459.2021.2021919
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- Generalized Good-Turing Improves Missing Mass Estimation
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PubDate: 2022-01-31T03:08:51Z
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- Multifile Partitioning for Record Linkage and Duplicate Detection
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PubDate: 2022-01-28T07:46:45Z
DOI: 10.1080/01621459.2021.2013242
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- Asymmetric Error Control Under Imperfect Supervision: A
Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm-
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- Query-Augmented Active Metric Learning
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PubDate: 2022-01-28T07:44:44Z
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- Inference and Estimation for Random Effects in High-Dimensional Linear
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PubDate: 2022-01-28T05:02:53Z
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- Community Detection in General Hypergraph Via Graph Embedding
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PubDate: 2022-01-13T07:09:42Z
DOI: 10.1080/01621459.2021.2002157
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- An Outer-Product-of-Gradient Approach to Dimension Reduction and its
Application to Classification in High Dimensional Space-
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- Threshold Selection in Feature Screening for Error Rate Control
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- Pseudo-Bayesian Classified Mixed Model Prediction
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- High-Order Joint Embedding for Multi-Level Link Prediction
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PubDate: 2022-01-05T08:15:42Z
DOI: 10.1080/01621459.2021.2005608
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- A General Framework for Inference on Algorithm-Agnostic Variable
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PubDate: 2022-01-05T08:15:32Z
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- Classification Trees for Imbalanced Data: Surface-to-Volume Regularization
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PubDate: 2022-01-05T08:14:44Z
DOI: 10.1080/01621459.2021.2005609
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- Nonparametric Functional Graphical Modeling Through Functional Additive
Regression Operator-
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PubDate: 2022-01-05T08:14:28Z
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- Transport Monte Carlo: High-Accuracy Posterior Approximation via Random
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PubDate: 2022-01-05T08:14:10Z
DOI: 10.1080/01621459.2021.2003201
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- Test of Weak Separability for Spatially Stationary Functional Field
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PubDate: 2022-01-05T08:13:50Z
DOI: 10.1080/01621459.2021.2002156
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- Kernel-Based Partial Permutation Test for Detecting Heterogeneous
Functional Relationship-
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PubDate: 2022-01-05T08:10:52Z
DOI: 10.1080/01621459.2021.2000867
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