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Journal of Computational & Graphical Statistics
Journal Prestige (SJR): 3.135
Citation Impact (citeScore): 2
Number of Followers: 21  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 1061-8600 - ISSN (Online) 1537-2715
Published by Taylor and Francis Homepage  [2652 journals]
  • Optimization for Calibration of Survey Weights under a Large Number of
           Conflicting Constraints

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      Authors: Matthew R. WilliamsTerrance D. Savitskya RTI International; Research Triangle Park, NCb U.S. Bureau of Labor Statistics, Office of Survey Methods Research, Washington, DC
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-02-15T08:12:40Z
      DOI: 10.1080/10618600.2024.2304071
       
  • Double Probability Integral Transform Residuals for Regression Models with
           Discrete Outcomes

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      Authors: Lu YangSchool of Statistics; University of Minnesota, Minneapolis, MN
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-02-14T08:59:19Z
      DOI: 10.1080/10618600.2024.2303336
       
  • Functional Mixed Membership Models

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      Authors: Nicholas MarcoDamla ŞentürkShafali JesteCharlotte DiStefanoAbigail DickinsonDonatello Telescaa Department of Biostatistics; University of California, Los Angeles, Los Angeles, CAb Division of Neurology Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-10T09:28:55Z
      DOI: 10.1080/10618600.2024.2304633
       
  • A Framework for Leveraging Machine Learning Tools to Estimate Personalized
           Survival Curves

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      Authors: Charles J. WolockPeter B. GilbertNoah SimonMarco Caronea Department of Biostatistics; Epidemiology Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-10T05:12:22Z
      DOI: 10.1080/10618600.2024.2304070
       
  • Supervised Stratified Subsampling for Predictive Analytics

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      Authors: Ming-Chung ChangInstitute of Statistical Science; Academia Sinica, Taipei, Taiwan
      Pages: 1 - 20
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-09T07:03:13Z
      DOI: 10.1080/10618600.2024.2304075
       
  • Competing Risk Modeling with Bivariate Varying Coefficients to Understand
           the Dynamic Impact of COVID-19

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      Authors: Wenbo WuJohn D. KalbfleischJeremy M. G. TaylorJian KangKevin Hea Division of Biostatistics; Department of Population Health, Division of Nephrology, Department of Medicine, Center for Data Science, New York University, New York, NYb Department of Biostatistics, University of Michigan, Ann Arbor, MI
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-09T07:00:18Z
      DOI: 10.1080/10618600.2024.2304089
       
  • Structural Discovery with Partial Ordering Information for Time-Dependent
           Data with Convergence Guarantees

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      Authors: Jiahe LinHuitian LeiGeorge Michailidisa Machine Learning Research, Morgan Stanley, New York, NYb Lyft, Inc; San Francisco, CAc Department of Statistics & Data Science, University of California, Los Angeles, CA
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-05T04:16:14Z
      DOI: 10.1080/10618600.2023.2301097
       
  • A Bayesian Collocation Integral Method for Parameter Estimation in
           Ordinary Differential Equations

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      Authors: Mingwei XuSamuel W. K. WongPeijun SangDepartment of Statistics; Actuarial Science, University of Waterloo, Waterloo, Canada
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-05T04:15:39Z
      DOI: 10.1080/10618600.2024.2302528
       
  • Functional Labeled Optimal Partitioning

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      Authors: Jacob M. KaufmanAlyssa J. StenbergToby D. HockingNorthern Arizona University; Flagstaff, AZ
      Pages: 1 - 8
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-05T01:16:30Z
      DOI: 10.1080/10618600.2023.2293216
       
  • Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed
           Models

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      Authors: Jiaqing ZhuLin WangFasheng Suna Department of Statistics; KLAS Statistics, Northeast Normal University, Changchun, Chinab Department of Statistics, Purdue University, West Lafayette, IN
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-03T05:22:27Z
      DOI: 10.1080/10618600.2023.2301093
       
  • Accelerated Structured Matrix Factorization

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      Authors: Lorenzo SchiavonBernardo NipotiAntonio Canalea Department of Economics; Ca’ Foscari University of Venice, Venice, Italyb Department of Economics, Management Statistics, University of Milano-Bicocca, Milan, Italyc Department of Statistical Sciences, University of Padova, Padova, Italy
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-03T05:22:04Z
      DOI: 10.1080/10618600.2023.2301072
       
  • Properties of Test Statistics for Nonparametric Cointegrating Regression
           Functions Based on Subsamples

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      Authors: Sepideh MosaferiMark S. KaiserDaniel J. Nordmana University of Massachusetts Amherst; Amherst, MAb Iowa State University, Ames, IA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-03T05:21:36Z
      DOI: 10.1080/10618600.2023.2301079
       
  • Adaptive Wavelet Domain Principal Component Analysis for Nonstationary
           Time Series

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      Authors: Marina I. KnightMatthew A. NunesJessica K. Hargreavesa Department of Mathematics; University of York, York, UKb School of Mathematical Sciences, University of Bath, Bath, UK
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2024-01-02T09:14:43Z
      DOI: 10.1080/10618600.2023.2301069
       
  • Revisiting Convolutional Neural Networks from the Viewpoint of
           Kernel-Based Methods

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      Authors: Corinne JonesVincent RouletZaid Harchaouia Swiss Data Science Center; École polytechnique fédérale de Lausanne, Lausanne, Switzerlandb Department of Statistics, University of Washington, Seattle, WA
      Pages: 1237 - 1247
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1237-1247
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-16T08:57:48Z
      DOI: 10.1080/10618600.2022.2163649
      Issue No: Vol. 32, No. 4 (2023)
       
  • Nonlinear Functional Modeling Using Neural Networks

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      Authors: Aniruddha Rajendra RaoMatthew ReimherrDepartment of Statistics; Pennsylvania State University, University Park, PA
      Pages: 1248 - 1257
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1248-1257
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-17T03:00:55Z
      DOI: 10.1080/10618600.2023.2165498
      Issue No: Vol. 32, No. 4 (2023)
       
  • Interpretable Architecture Neural Networks for Function Visualization

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      Authors: Shengtong ZhangDaniel W. ApleyDepartment of Industrial Engineering; Management Sciences, Northwestern University, Evanston, IL
      Pages: 1258 - 1271
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1258-1271
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-02T05:29:12Z
      DOI: 10.1080/10618600.2023.2195461
      Issue No: Vol. 32, No. 4 (2023)
       
  • Dependence Model Assessment and Selection with DecoupleNets

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      Authors: Marius HofertAvinash PrasadMu Zhua Department of Statistics; Actuarial Science, University of Waterloo, Waterloo, ON, Canada
      Pages: 1272 - 1286
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1272-1286
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-06T03:46:43Z
      DOI: 10.1080/10618600.2022.2157835
      Issue No: Vol. 32, No. 4 (2023)
       
  • A Generalization Gap Estimation for Overparameterized Models via the
           Langevin Functional Variance

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      Authors: Akifumi OkunoKeisuke Yanoa The Institute of Statistical Mathematics; Tokyo, Japanb RIKEN AIP, Tokyo, Japan
      Pages: 1287 - 1295
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1287-1295
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-17T06:58:11Z
      DOI: 10.1080/10618600.2023.2197488
      Issue No: Vol. 32, No. 4 (2023)
       
  • Link Prediction for Egocentrically Sampled Networks

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      Authors: Tianxi LiYun-Jhong WuElizaveta LevinaJi Zhua Statistics; University of Virginia, Charllottesville, VAb Department of Statistics, University of Michigan, Ann Arbor, MIc University of Michigan, Ann Arbor, MI
      Pages: 1296 - 1319
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1296-1319
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-16T08:58:37Z
      DOI: 10.1080/10618600.2022.2163648
      Issue No: Vol. 32, No. 4 (2023)
       
  • Latent Space Model for Higher-Order Networks and Generalized Tensor
           Decomposition

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      Authors: Zhongyuan LyuDong XiaYuan Zhanga Department of Mathematics; Hong Kong University of Science Technology, Kowloon, Hong Kongb Department of Statistics, Ohio State University, Columbus, OH
      Pages: 1320 - 1336
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1320-1336
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-14T07:41:12Z
      DOI: 10.1080/10618600.2022.2164289
      Issue No: Vol. 32, No. 4 (2023)
       
  • Bootstrap Confidence Regions for Learned Feature Embeddings

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      Authors: Kris Sankarana Department of Statistics; University of Wisconsin - Madison, Madison, WIb Wisconsin Institute for Discovery, Madison, WI
      Pages: 1337 - 1347
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1337-1347
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-15T04:19:55Z
      DOI: 10.1080/10618600.2023.2197478
      Issue No: Vol. 32, No. 4 (2023)
       
  • Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator

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      Authors: Haobo QiFeifei WangHansheng Wanga School of Statistics; Beijing Normal University, Beijing, China b Center for Applied Statistics, Renmin University of China, Beijing, Chinac School of Statistics, Renmin University of China, Beijing, Chinad Guanghua School of Management, Peking University, Beijing, China
      Pages: 1348 - 1360
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1348-1360
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-06T06:15:30Z
      DOI: 10.1080/10618600.2023.2204130
      Issue No: Vol. 32, No. 4 (2023)
       
  • Bayesian Nonparametric Modeling of Conditional Multidimensional Dependence
           Structures

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      Authors: Rosario BaroneLuciana Dalla Vallea Sapienza University of Rome; Rome, Italyb University of Plymouth, Plymouth, UK
      Pages: 1361 - 1370
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1361-1370
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-03-03T08:47:58Z
      DOI: 10.1080/10618600.2023.2173604
      Issue No: Vol. 32, No. 4 (2023)
       
  • Comparison and Bayesian Estimation of Feature Allocations

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      Authors: David B. DahlDevin J. JohnsonR. Jacob Androsa Department of Statistics; Brigham Young University, Provo, UTb Department of Statistical Science, Duke University, Durham, NC
      Pages: 1371 - 1382
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1371-1382
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-01T06:45:19Z
      DOI: 10.1080/10618600.2023.2204136
      Issue No: Vol. 32, No. 4 (2023)
       
  • Modeling Intransitivity in Pairwise Comparisons with Application to
           Baseball Data

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      Authors: Harry SpearingJonathan TawnDavid IronsTim Pauldena Lancaster University; Lancaster, United Kingdom of Great Britain Northern Ireland
      Pages: 1383 - 1392
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1383-1392
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-03-15T04:52:14Z
      DOI: 10.1080/10618600.2023.2177299
      Issue No: Vol. 32, No. 4 (2023)
       
  • Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data

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      Authors: Benjamin ChristoffersenBehrang MahjaniMark ClementsHedvig KjellströmKeith Humphreysa Division of Robotics; Perception Treatment, Icahn School of Medicine at Mount Sinai, New York, NY
      Pages: 1393 - 1401
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1393-1401
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-01-09T03:46:17Z
      DOI: 10.1080/10618600.2022.2151454
      Issue No: Vol. 32, No. 4 (2023)
       
  • A Quantum Parallel Markov Chain Monte Carlo

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      Authors: Andrew J. HolbrookUCLA Biostatistics; Los Angeles, CA
      Pages: 1402 - 1415
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1402-1415
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-21T09:15:51Z
      DOI: 10.1080/10618600.2023.2195890
      Issue No: Vol. 32, No. 4 (2023)
       
  • Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation
           Sampler

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      Authors: Pierpaolo De BlasiMaría F. Gil–Leyvaa Collegio Carlo Alberto; Statistics, IIMAS–UNAM, Ciudad de Mexico, México
      Pages: 1416 - 1424
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1416-1424
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-03T04:18:40Z
      DOI: 10.1080/10618600.2023.2177298
      Issue No: Vol. 32, No. 4 (2023)
       
  • Concave-Convex PDMP-based Sampling

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      Authors: Matthew SuttonPaul Fearnheada Centre for Data Science; Queensland University of Technology, Brisbane, Australiab Department of Mathematics Statistics, Lancaster University, Lancaster, UK
      Pages: 1425 - 1435
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1425-1435
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-30T02:40:55Z
      DOI: 10.1080/10618600.2023.2203735
      Issue No: Vol. 32, No. 4 (2023)
       
  • The Apogee to Apogee Path Sampler

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      Authors: Chris SherlockSzymon UrbasMatthew Ludkina Department of Mathematics; Statistics, Lancaster University, Lancaster, UKb Darktrace, Cambridge, UK
      Pages: 1436 - 1446
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1436-1446
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-24T08:21:14Z
      DOI: 10.1080/10618600.2023.2190784
      Issue No: Vol. 32, No. 4 (2023)
       
  • Backward Importance Sampling for Online Estimation of State Space Models

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      Authors: Alice MartinMarie-Pierre ÉtiennePierre GloaguenSylvain Le CorffJimmy Olssona École Polytechnique; et Samovar, Télécom SudParis, Institut Polytechnique de Paris, Palaiseau, Franceb Agrocampus Ouest, CNRS, IRMAR - UMR 6625, Rennes, Francec Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, Palaiseau, Franced LPSM, Sorbonne Université, UMR CNRS 8001, Paris, Francee Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden
      Pages: 1447 - 1460
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1447-1460
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-03-17T07:27:35Z
      DOI: 10.1080/10618600.2023.2174125
      Issue No: Vol. 32, No. 4 (2023)
       
  • Distilling Importance Sampling for Likelihood Free Inference

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      Authors: Dennis PrangleCecilia Viscardia School of Mathematics; University of Bristol, Bristol, United Kingdom of Great Britain Northern Irelandb Department of Statistics, Computer Science, Applications, University of Florence, Florence, Italy
      Pages: 1461 - 1471
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1461-1471
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-03-15T04:50:49Z
      DOI: 10.1080/10618600.2023.2175688
      Issue No: Vol. 32, No. 4 (2023)
       
  • Modeling Massive Highly Multivariate Nonstationary Spatial Data with the
           Basis Graphical Lasso

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      Authors: Mitchell L. KrockWilliam KleiberDorit HammerlingStephen Beckera Mathematics; Statistics, Colorado School of Mines, Golden, CO
      Pages: 1472 - 1487
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1472-1487
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-30T02:34:54Z
      DOI: 10.1080/10618600.2023.2174126
      Issue No: Vol. 32, No. 4 (2023)
       
  • Bayesian Change Point Detection with Spike-and-Slab Priors

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      Authors: Lorenzo CappelloOscar Hernan Madrid PadillaJulia A. Palaciosa Department of Economics; Biomedical Data Science, Stanford University, Stanford, CA
      Pages: 1488 - 1500
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1488-1500
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-10T07:40:20Z
      DOI: 10.1080/10618600.2023.2182312
      Issue No: Vol. 32, No. 4 (2023)
       
  • Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency

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      Authors: Tao LiJun YuCheng Menga Institute of Statistics; Big Data, Renmin University of China, Beijing, China
      Pages: 1501 - 1511
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1501-1511
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-12T05:00:36Z
      DOI: 10.1080/10618600.2023.2183213
      Issue No: Vol. 32, No. 4 (2023)
       
  • Efficient Approximation of Gromov-Wasserstein Distance Using Importance
           Sparsification

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      Authors: Mengyu LiJun YuHongteng XuCheng Menga Institute of Statistics; Big Data, Renmin University of China, Beijing, China
      Pages: 1512 - 1523
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1512-1523
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-16T07:32:51Z
      DOI: 10.1080/10618600.2023.2165500
      Issue No: Vol. 32, No. 4 (2023)
       
  • Biconvex Clustering

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      Authors: Saptarshi ChakrabortyJason Xua Department of Statistics; University of California, Berkeley, Berkeley, CAb Department of Statistical Science, Duke University, Durham, NC
      Pages: 1524 - 1536
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1524-1536
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-17T06:56:21Z
      DOI: 10.1080/10618600.2023.2197474
      Issue No: Vol. 32, No. 4 (2023)
       
  • Test and Visualization of Covariance Properties for Multivariate
           Spatio-Temporal Random Fields

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      Authors: Huang HuangYing SunMarc G. GentonStatistics Program; King Abdullah University of Science Technology, Thuwal, Saudi Arabia
      Pages: 1545 - 1555
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1545-1555
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-21T09:12:52Z
      DOI: 10.1080/10618600.2023.2191667
      Issue No: Vol. 32, No. 4 (2023)
       
  • Quantizing Rare Random Maps: Application to Flooding Visualization

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      Authors: Charlie SireRodolphe Le RicheDidier RullièreJérémy RohmerLucie PheulpinYann Richeta Mines Saint-Etienne; Univ. Clermont Auvergne, CNRS, UMR 6158 LIMOS, Saint-Etienne, Franceb BRGM, Orleans, Francec IRSN, Fontenay-aux-Roses, France
      Pages: 1556 - 1571
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1556-1571
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-30T02:48:57Z
      DOI: 10.1080/10618600.2023.2203764
      Issue No: Vol. 32, No. 4 (2023)
       
  • Penguins Go Parallel: A Grammar of Graphics Framework for Generalized
           Parallel Coordinate Plots

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      Authors: Susan VanderPlasYawei GeAntony UnwinHeike Hofmanna Department of Statistics; University of Nebraska-Lincoln, Lincoln, NEb Department of Statistics, Iowa State University, Ames, IAc Institut für Mathematik der Universität Augsburg, Augsburg, Germany
      Pages: 1572 - 1587
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1572-1587
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-21T09:15:41Z
      DOI: 10.1080/10618600.2023.2195462
      Issue No: Vol. 32, No. 4 (2023)
       
  • Spatial Linear Regression with Covariate Measurement Errors: Inference and
           Scalable Computation in a Functional Modeling Approach

    • Free pre-print version: Loading...

      Authors: Jiahao CaoShiyuan HeBohai Zhanga Center for Applied Statistics; Institute of Statistics KLMDASR, Nankai University, Tianjin, China
      Pages: 1588 - 1599
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1588-1599
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-03-20T03:58:37Z
      DOI: 10.1080/10618600.2023.2175686
      Issue No: Vol. 32, No. 4 (2023)
       
  • Functional Additive Models on Manifolds of Planar Shapes and Forms

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      Authors: Almond StöckerLisa SteyerSonja GrevenSchool of Business; Economics, Humboldt-Universität zu Berlin, Berlin, Germany
      Pages: 1600 - 1612
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1600-1612
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-03-15T04:48:11Z
      DOI: 10.1080/10618600.2023.2175687
      Issue No: Vol. 32, No. 4 (2023)
       
  • Nonparametric and Semiparametric Quantile Regression via a New MM
           Algorithm

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      Authors: Bo KaiMian HuangWeixin YaoYuexiao Donga Department of Mathematics; College of Charleston, Charleston, SCb School of Statistics Data Science, Temple University, Philadelphia, PA
      Pages: 1613 - 1623
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1613-1623
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-18T09:10:14Z
      DOI: 10.1080/10618600.2023.2184374
      Issue No: Vol. 32, No. 4 (2023)
       
  • Envelope Model for Function-on-Function Linear Regression

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      Authors: Zhihua SuBing LiDennis Cooka Department of Statistics; University of Florida, Gainesville, FL;b Department of Statistics, Pennsylvania State University, University Park, PA;c School of Statistics, University of Minnesota, Minneapolis, MN
      Pages: 1624 - 1635
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1624-1635
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-07T07:59:36Z
      DOI: 10.1080/10618600.2022.2163652
      Issue No: Vol. 32, No. 4 (2023)
       
  • Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models
           without Numerical Evaluations of Intractable Integrals

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      Authors: Tonglin ZhangDepartment of Statistics; Purdue University, West Lafayette, IN
      Pages: 1636 - 1648
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1636-1648
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-02-16T07:30:38Z
      DOI: 10.1080/10618600.2022.2163651
      Issue No: Vol. 32, No. 4 (2023)
       
  • Multifold Cross-Validation Model Averaging for Generalized Additive
           Partial Linear Models

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      Authors: Ze ChenJun LiaoWangli XuYuhong Yanga Center for Applied Statistics; School of Statistics, Renmin University of China, Beijing, China; b School of Statistics, University of Minnesota, Minneapolis, MN
      Pages: 1649 - 1659
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1649-1659
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-03-07T09:38:36Z
      DOI: 10.1080/10618600.2023.2174127
      Issue No: Vol. 32, No. 4 (2023)
       
  • Fast, Approximate Maximum Likelihood Estimation of Log-Gaussian Cox
           Processes

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      Authors: Elliot DoversWesley BrooksGordana C. PopovicDavid I. WartonSchool of Mathematics; Evolution & Ecology Research Centre, University of New South Wales, Sydney, Australia
      Pages: 1660 - 1670
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1660-1670
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-06T07:02:57Z
      DOI: 10.1080/10618600.2023.2182311
      Issue No: Vol. 32, No. 4 (2023)
       
  • Multivariate Contaminated Normal Censored Regression Model: Properties and
           Maximum Likelihood Inference

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      Authors: Wan-Lun WangDepartment of Statistics; Institute of Data Science, National Cheng Kung University, Tainan, Taiwan
      Pages: 1671 - 1684
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1671-1684
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-09T05:50:51Z
      DOI: 10.1080/10618600.2023.2184375
      Issue No: Vol. 32, No. 4 (2023)
       
  • Distributed Censored Quantile Regression

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      Authors: Tony SitYue Xinga Department of Statistics; The Chinese University of Hong Kong, Shatin, Hong Kongb Department of Statistics, Purdue University, West Lafayette, IN
      Pages: 1685 - 1697
      Abstract: Volume 32, Issue 4, October-December 2023, Page 1685-1697
      .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-04-18T09:09:06Z
      DOI: 10.1080/10618600.2023.2182310
      Issue No: Vol. 32, No. 4 (2023)
       
  • Times Square Sampling: An Adaptive Algorithm for Free Energy Estimation

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      Authors: Cristian PredescuMichael SnarskiAvi Robinson-MosherDuluxan SritharanTamas SzalayDavid E. Shawa D. E. Shaw Research; New York, NYb Department of Biochemistry Molecular Biophysics, Columbia University, New York, NY
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-12-12T08:15:53Z
      DOI: 10.1080/10618600.2023.2291108
       
  • Generative Multi-Purpose Sampler for Weighted M-estimation

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      Authors: Minsuk ShinShijie WangJun S. Liua Department of Statistics; University of South Carolina, Columbia, SCb Department of Statistics, Harvard University, Cambridge, MA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-12-08T07:06:58Z
      DOI: 10.1080/10618600.2023.2292668
       
  • Copula Graphical Models for Heterogeneous Mixed Data

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      Authors: Sjoerd HermesJoost van HeerwaardenPariya Behrouzia Mathematical; Statistical Methods, Wageningen University, Wageningen, Netherlandsb Plant Production Systems, Wageningen University, Wageningen, Netherlands
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-12-06T01:40:28Z
      DOI: 10.1080/10618600.2023.2289545
       
  • Smooth Multi-Period Forecasting With Application to Prediction of COVID-19
           Cases

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      Authors: Elena TuzhilinaTrevor J. HastieDaniel J. McDonaldJ. Kenneth TayRobert Tibshirania Department of Statistics; Stanford University, Stanford, CAb Department of Statistics Biomedical Data Science, Stanford University, Stanford, CAc Department of Statistics, The University of British Columbia, Vancouver, Canada
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-12-04T05:57:41Z
      DOI: 10.1080/10618600.2023.2285337
       
  • A Geometric Algorithm for Contrastive Principal Component Analysis in High
           Dimension

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      Authors: Rung-Sheng LuShao-Hsuan WangSu-Yun Huanga Department of Mathematics; National Taiwan University, Taipei City, Taiwanb Graduate Institute of Statistics, National Central University, Taoyuan City, Taiwanc Institute of Statistical Science, Academia Sinica, Taipei City, Taiwan
      Pages: 1 - 8
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-12-01T03:56:37Z
      DOI: 10.1080/10618600.2023.2289542
       
  • Model-Based Smoothing with Integrated Wiener Processes and Overlapping
           Splines

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      Authors: Ziang ZhangAlex StringerPatrick BrownJamie Stafforda Department of Statistical Sciences; University of Toronto, Toronto, Canadab Department of Statistics Actuarial Science, University of Waterloo, Waterloo, Canadac Centre for Global Health Research, St Michael’s Hospital, Toronto, Canada
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-29T07:17:18Z
      DOI: 10.1080/10618600.2023.2289532
       
  • Statement of Retraction: Detecting Anomalous Time Series by
           GAMLSS-Akaike-Weights-Scoring

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      Pages: 1 - 1
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-27T07:50:37Z
      DOI: 10.1080/10618600.2023.2285648
       
  • Extrapolated Cross-Validation for Randomized Ensembles

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      Authors: Jin-Hong DuPratik PatilKathryn RoederArun Kumar Kuchibhotlaa Department of Statistics; Data Science, Carnegie Mellon University, Pittsburgh, PAb Machine Learning Department, Carnegie Mellon University, Pittsburgh, PAc Department of Statistics, University of California, Berkeley, Berkeley, CA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-27T07:30:33Z
      DOI: 10.1080/10618600.2023.2288194
       
  • Vecchia Likelihood Approximation for Accurate and Fast Inference with
           Intractable Spatial Max-Stable Models

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      Authors: Raphaël HuserMichael L. SteinPeng Zhonga Statistics Program; Computer, Electrical Statistics, University of New South Wales, Sydney, Australia
      Pages: 1 - 22
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-21T10:05:26Z
      DOI: 10.1080/10618600.2023.2285332
       
  • An Adaptive Neural Network Regression Method for Structure Identification

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      Authors: Jae-Kyung ShinKwan-Young BakJa-Yong Kooa Department of Statistics; Korea University, Seoul, Koreab School of Mathematics, Statistics Data Science, Sungshin Women’s University, Seoul, Koreac Science Center, Sungshin Women’s University, Seoul, Korea
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-21T01:48:31Z
      DOI: 10.1080/10618600.2023.2284206
       
  • Joint and Individual Component Regression

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      Authors: Peiyao WangHaodong WangQuefeng LiDinggang ShenYufeng Liua Department of Statistics; Trial Center, Shanghai, Chinaf Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-16T08:53:04Z
      DOI: 10.1080/10618600.2023.2284227
       
  • Fast Matrix-Free Methods for Model-Based Personalized Synthetic MR Imaging

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      Authors: Subrata PalSomak DuttaRanjan MaitraDepartment of Statistics; Iowa State University, Ames, IA
      Pages: 1 - 9
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-15T09:46:37Z
      DOI: 10.1080/10618600.2023.2284208
       
  • A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for
           High-Dimensional Inverse Problems

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      Authors: Pierre-Antoine ThouveninAudrey RepettiPierre Chainaisa Univ. of Lille; CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille, Franceb School of Mathematics Physical Sciences, Heriot-Watt University, Edinburgh, UK
      Pages: 1 - 35
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-15T04:25:28Z
      DOI: 10.1080/10618600.2023.2282501
       
  • Fast Bayesian Record Linkage for Streaming Data Contexts

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      Authors: Ian TaylorAndee KaplanBrenda Betancourta Department of Statistics; Colorado State University, Fort Collins, COb NORC at the University of Chicago, Chicago, IL
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-15T01:19:59Z
      DOI: 10.1080/10618600.2023.2283571
       
  • Metaheuristic Solutions to Order-of-Addition Design Problems

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      Authors: Zack StokesWeng Kee WongHongquan Xua Department of Statistics; Data Science, University of California, Los Angeles, CAb Department of Biostatistics, University of California, Los Angeles, CA
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-03T04:35:08Z
      DOI: 10.1080/10618600.2023.2277878
       
  • A Fast Solution to the Lasso Problem with Equality Constraints

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      Authors: Lam TranGen LiLan LuoHui Jianga Department of Biostatistics; University of Michigan, Ann Arbor, MIb Department of Biostatistics Epidemiology, Rutgers University, New Brunswick, NJ
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-03T04:34:31Z
      DOI: 10.1080/10618600.2023.2277877
       
  • Spatially Smoothed Robust Covariance Estimation for Local Outlier
           Detection

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      Authors: Patricia PuchhammerPeter FilzmoserInstitute of Statistics; Mathematical Methods in Economics, TU Wien, Vienna, Austria
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-03T04:33:08Z
      DOI: 10.1080/10618600.2023.2277875
       
  • Discovering Active Subspaces for High-Dimensional Computer Models

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      Authors: Kellin RumseyDevin FrancomScott Vander WielStatistical Sciences; Los Alamos National Laboratory, Los Alamos, NM
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-03T04:20:40Z
      DOI: 10.1080/10618600.2023.2277297
       
  • Measure of Strength of Evidence for Visually Observed Differences between
           Subpopulations

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      Authors: Xi YangJan HannigKatherine A. HoadleyIain CarmichaelJ. S. Marrona Department of Statistics; Operations Research, University of North Carolina Chapel Hill, Chapel Hill, NCb Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NCc Department of Statistics, University of California Berkeley, Berkeley, CA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-11-02T12:44:57Z
      DOI: 10.1080/10618600.2023.2276113
       
  • A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression

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      Authors: Rebeka ManXiaoou PanKean Ming TanWen-Xin Zhoua Department of Statistics; University of Michigan, Ann Arbor, MIb Department of Mathematics, University of California, San Diego, La Jolla, CAc Department of Information Decision Sciences, University of Illinois at Chicago, Chicago, IL
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-27T03:10:59Z
      DOI: 10.1080/10618600.2023.2275999
       
  • Deeply Learned Generalized Linear Models with Missing Data

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      Authors: David K. LimNaim U. RashidJunier B. OlivaJoseph G. Ibrahima Department of Biostatistics; University of North Carolina at Chapel Hill, Chapel Hill, NCb Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-26T04:18:09Z
      DOI: 10.1080/10618600.2023.2276122
       
  • Recurrent Event Analysis in the Presence of Real-Time High Frequency Data
           via Random Subsampling

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      Authors: Walter DempseyDepartment of Biostatistics; University of Michigan, Ann Arbor, MI, USA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-26T04:17:22Z
      DOI: 10.1080/10618600.2023.2276114
       
  • Accurate and Ultra-Efficient p-Value Calculation for Higher Criticism
           Tests

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      Authors: Wenjia WangYusi FangChung ChangGeorge C. Tsenga Department of Biostatistics; University of Pittsburgh, Pittsburgh, PAb Department of Applied Mathematics, National Sun Yat-sen University, Kaohsiung, Taiwan
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-16T05:10:55Z
      DOI: 10.1080/10618600.2023.2270720
       
  • On Exact Feature Screening in Ultrahigh-Dimensional Binary Classification

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      Authors: Sarbojit RoySoham SarkarSubhajit DuttaAnil K. Ghosha Computer; Electrical, Mathematics Unit, Indian Statistical Institute, Kolkata, India
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-16T05:08:46Z
      DOI: 10.1080/10618600.2023.2270656
       
  • Varying Coefficient Model via Adaptive Spline Fitting

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      Authors: Xufei WangBo JiangJun S. Liua Two Sigma Investments; LP, New York, NYb Department of Statistics, Harvard University, Cambridge, MA
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-06T04:59:29Z
      DOI: 10.1080/10618600.2023.2267616
       
  • Joint Network Reconstruction and Community Detection from Rich but Noisy
           Data

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      Authors: Jie HuXiao ChenYu ChenWeiping ZhangInternational Institute of Finance; School of Management, University of Science Technology of China, Hefei, Anhui, China
      Pages: 1 - 26
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-06T04:58:08Z
      DOI: 10.1080/10618600.2023.2267630
       
  • Big Data Model Building Using Dimension Reduction and Sample Selection

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      Authors: Lih-Yuan DengChing-Chi YangDale BowmanDennis K. J. LinHenry Horng-Shing Lua Department of Mathematical Sciences; University of Memphis, Memphis, TNb Department of Statistics, Purdue University, West Lafayette, INc Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Department of Statistics Data Science, Cornell University, Ithaca, NY
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-10-02T06:14:24Z
      DOI: 10.1080/10618600.2023.2260052
       
  • Modeling Longitudinal Data Using Matrix Completion

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      Authors: Łukasz KidzińskiTrevor Hastiea Department of Bioengineering; Stanford University, Stanford, CAb Department of Statistics, Stanford University, Stanford, CA
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-28T12:49:13Z
      DOI: 10.1080/10618600.2023.2257257
       
  • Smoothing Splines for Discontinuous Signals

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      Authors: Martin StorathAndreas Weinmanna Lab for Mathematical Methods in Computer Vision; Natural Sciences, Hochschule Darmstadt, Darmstadt, Germany
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-27T07:31:09Z
      DOI: 10.1080/10618600.2023.2262000
       
  • Flexible Variational Bayes Based on a Copula of a Mixture

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      Authors: David GunawanRobert KohnDavid Notta School of Mathematics; Analytics, National University of Singapore, Singapore
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-26T05:22:17Z
      DOI: 10.1080/10618600.2023.2262080
       
  • Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions

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      Authors: Yasuyuki HamuraKaoru IrieShonosuke Sugasawaa 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
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-15T12:50:24Z
      DOI: 10.1080/10618600.2023.2258186
       
  • Generalized Variable Selection Algorithms for Gaussian Process Models by
           LASSO-Like Penalty

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      Authors: Zhiyong HuDipak K. DeyDepartment of Statistics; University of Connecticut, Storrs, CT
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-15T12:43:51Z
      DOI: 10.1080/10618600.2023.2256802
       
  • Quasi-Newton Acceleration of EM and MM Algorithms via Broyden’s
           Method

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      Authors: Medha AgarwalJason Xua Department of Statistics; University of Washington, Seattle, WAb Department of Statistical Science, Duke University, Durham, NC
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-15T12:20:00Z
      DOI: 10.1080/10618600.2023.2257261
       
  • Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates

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      Authors: Leying GuanDepartment of Biostatistics; Yale University, New Haven, CT
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-15T07:09:33Z
      DOI: 10.1080/10618600.2023.2257783
       
  • Iteratively Reweighted Least Squares Method for Estimating Polyserial and
           Polychoric Correlation Coefficients

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      Authors: Peng ZhangBen LiuJingjing Pana School of Mathematical Sciences; Zhejiang University, Hangzhou, Chinab Zhejiang Super Soul Artificial Intelligence Research Institute, Deqing, China
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-14T09:00:07Z
      DOI: 10.1080/10618600.2023.2257251
       
  • A Relaxation Approach to Feature Selection for Linear Mixed Effects Models

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      Authors: Aleksei SholokhovJames V. BurkeDamian F. SantomauroPeng ZhengAleksandr Aravkina Department of Applied Mathematics; University of Washington, Seattle, WAb Department of Mathematics, University of Washington, Seattle, WAc School of Public Health, The University of Queensland, Queensland Centre for Mental Health Research, Wacol, QLD, Australiad Institute of Health Metrics Evaluation, University of Washington, Seattle, WA
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-14T08:34:06Z
      DOI: 10.1080/10618600.2023.2231496
       
  • Convolutional Neural Networks for Valid and Efficient Causal Inference

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      Authors: Mohammad GhasempourNiloofar MoosaviXavier de LunaDepartment of Statistics; USBE, Umeå University, Umeå, Sweden
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-12T03:57:54Z
      DOI: 10.1080/10618600.2023.2257247
       
  • On Exact Computation of Tukey Depth Central Regions

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      Authors: Vít FojtíkPetra LaketaPavlo MozharovskyiStanislav Nagya Faculty of Mathematics; Physics, Charles University, Prague, Czech Republicb LTCI, Telecom Paris, Institut Polytechnique de Paris, Paris, France
      Pages: 1 - 26
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-11T08:17:09Z
      DOI: 10.1080/10618600.2023.2257781
       
  • Clustering Sequence Data with Mixture Markov Chains with Covariates Using
           Multiple Simplex Constrained Optimization Routine (MSiCOR)

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      Authors: Priyam DasDeborshee SenDebsurya DeJue HouZahra S. H. AbadNicole KimZongqi XiaTianxi Caia Department of Biostatistics; Virginia Commonwealth University, Richmond, VAb Department of Mathematical Sciences, University of Bath, Bath, UKc Department of Applied Mathematics Evaluation, University of Toronto, Toronto, Canadaf Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MAg Department of Neurology, University of Pittsburgh, Pittsburgh, PAh Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PAi Department of Biomedical Informatics, Harvard Medical School, Boston, MA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-11T08:09:25Z
      DOI: 10.1080/10618600.2023.2257258
       
  • Efficient Multidimensional Functional Data Analysis Using Marginal Product
           Basis Systems

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      Authors: William ConsagraArun VenkataramanXing Qiua Brigham; Computational Biology, University of Rochester, Rochester, NY
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-11T08:06:48Z
      DOI: 10.1080/10618600.2023.2257256
       
  • Improved Pathwise Coordinate Descent for Power Penalties

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      Authors: Maryclare GriffinDepartment of Mathematics; Statistics, University of Massachusetts Amherst, Amherst, MA
      Pages: 1 - 6
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-08T05:26:44Z
      DOI: 10.1080/10618600.2023.2256807
       
  • A New Basis for Sparse Principal Component Analysis

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      Authors: Fan ChenKarl RoheDepartment of Statistics; University of Wisconsin–Madison, Madison, WI
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-08T05:25:45Z
      DOI: 10.1080/10618600.2023.2256502
       
  • Structured Shrinkage Priors

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      Authors: Maryclare GriffinPeter D. Hoffa Department of Mathematics; Statistics, University of Massachusetts Amherst, Amherst, MAb Department of Statistical Science, Duke University, Durham, NC
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-07T09:33:00Z
      DOI: 10.1080/10618600.2023.2233577
       
  • EM Algorithm for the Estimation of the RETAS Model

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      Authors: Tom StindlFeng ChenDepartment of Statistics; UNSW Sydney, Sydney, Australia
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-07T03:58:50Z
      DOI: 10.1080/10618600.2023.2253293
       
  • Fast Community Detection in Dynamic and Heterogeneous Networks

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      Authors: Maoyu ZhangJingfei ZhangWenlin Daia Center for Applied Statistics; Institute of Statistics Big Data, Renmin University of China, Beijing, Chinab Goizueta Business School, Emory University, Atlanta, GA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-05T02:52:57Z
      DOI: 10.1080/10618600.2023.2232852
       
  • Multiple Imputation Through XGBoost

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      Authors: Yongshi DengThomas LumleyDepartment of Statistics; University of Auckland, Auckland, New Zealand
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-09-01T01:13:02Z
      DOI: 10.1080/10618600.2023.2252501
       
  • A Simple Divide-and-Conquer-based Distributed Method for the Accelerated
           Failure Time Model

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      Authors: Lanjue ChenJin SuAlan T. K. WanYong Zhoua Academy of Mathematics; Department of Biostatistics, City University of Hong Kong, Kowloon, Hong Kong
      Pages: 1 - 18
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-31T05:51:31Z
      DOI: 10.1080/10618600.2023.2252028
       
  • Exactly Uncorrelated Sparse Principal Component Analysis

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      Authors: Oh-Ran KwonZhaosong LuHui Zoua School of Statistics; University of Minnesota, Minneapolis, MNb Department of Industrial Systems Engineering, University of Minnesota, Minneapolis, MN
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-30T07:11:37Z
      DOI: 10.1080/10618600.2023.2232843
       
  • Improving and Extending STERGM Approximations Based on Cross-Sectional
           Data and Tie Durations

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      Authors: Chad KlumbMartina MorrisSteven M. GoodreauSamuel M. Jennessa Center for Studies in Demography; Ecology, University of Washington, Seattle, WAb University of Washington, Seattle, WAc Department of Anthropology, University of Washington, Seattle, WAd Department of Epidemiology, Emory University, Atlanta, GA
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-29T09:34:33Z
      DOI: 10.1080/10618600.2023.2233593
       
  • Bayesian Multi-Task Variable Selection with an Application to Differential
           DAG Analysis

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      Authors: Guanxun LiQuan ZhouDepartment of Statistics; Texas A&M University, College Station, TX
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-29T05:14:21Z
      DOI: 10.1080/10618600.2023.2252023
       
  • General Nonlinear Function-on-Function Regression via Functional Universal
           Approximation

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      Authors: Ruiyan LuoXin Qia Department of Population Health Sciences; School of Public Health, Georgia State University, Atlanta, GAb Department of Mathematics Statistics, Georgia State University, Atlanta, GA
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-29T01:02:26Z
      DOI: 10.1080/10618600.2023.2252033
       
  • Supervised Principal Component Regression for Functional Responses with
           High Dimensional Predictors

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      Authors: Xinyi ZhangQiang SunDehan Konga School of Medicine; Johns Hopkins University, Baltimore, MDb Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-21T07:19:29Z
      DOI: 10.1080/10618600.2023.2250411
       
  • Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of
           States

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      Authors: Yudan ZouYiqi LinXinyuan SongDepartment of Statistics; The Chinese University of Hong Kong, Shatin, Hong Kong
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-10T02:44:58Z
      DOI: 10.1080/10618600.2023.2231055
       
  • Accelerated and Interpretable Oblique Random Survival Forests

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      Authors: Byron C. JaegerSawyer WeldenKristin LenoirJaime L. SpeiserMatthew W. SegarAmbarish PandeyNicholas M. Pajewskia Department of Biostatistics; Data Science, Wake Forest University School of Medicine, Winston-Salem, NCb Department of Cardiology, Texas Heart Institute, Houston, TXc Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-08T04:49:21Z
      DOI: 10.1080/10618600.2023.2231048
       
  • Functional Nonlinear Learning

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      Authors: Haixu WangJiguo Caoa Department of Mathematics; Statistics, University of Calgary, Calgary, Canadab Department of Statistics & Actuarial Science, Simon Fraser University, Burnaby, Canada
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-08T04:48:00Z
      DOI: 10.1080/10618600.2023.2233581
       
  • Conditional Particle Filters with Bridge Backward Sampling

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      Authors: Santeri KarppinenSumeetpal S. SinghMatti Viholaa Department of Mathematics; Applied Statistics, University of Wollongong, Wollongong, Australia
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-04T05:22:19Z
      DOI: 10.1080/10618600.2023.2231514
       
  • Covariance–Based Rational Approximations of Fractional SPDEs for
           Computationally Efficient Bayesian Inference

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      Authors: David BolinAlexandre B. SimasZhen XiongComputer; Electrical Technology, Thuwal, Saudi Arabia
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-04T05:15:45Z
      DOI: 10.1080/10618600.2023.2231051
       
  • Change Point Detection in Dynamic Networks via Regularized Tensor
           Decomposition

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      Authors: Yuzhao ZhangJingnan ZhangYifan SunJunhui Wanga Center for Applied Statistics; Technology of China, Hefei, Chinad Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-08-04T02:44:13Z
      DOI: 10.1080/10618600.2023.2240864
       
  • Local Gaussian Process Extrapolation for BART Models with Applications to
           Causal Inference

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      Authors: Meijia WangJingyu HeP. Richard Hahna Arizona State University; Tempe, AZb City University of Hong Kong, Kowloon, Hong Kong
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-07-26T01:15:49Z
      DOI: 10.1080/10618600.2023.2240384
       
  • Statistical Significance of Clustering with Multidimensional Scaling

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      Authors: Hui ShenShankar BhamidiYufeng Liua Department of Statistics; Department of Biostatistics, Carolina Center for Genome Sciences, Linberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-07-20T08:42:28Z
      DOI: 10.1080/10618600.2023.2219708
       
  • Improving the Accuracy of Marginal Approximations in Likelihood-Free
           Inference via Localization

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      Authors: Christopher DrovandiDavid J. NottDavid T. Fraziera School of Mathematical Sciences; Queensland University of Technology, Brisbane, Australiab Department of Statistics Business Statistics, Monash University, Melbourne, Australia
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-07-20T08:37:24Z
      DOI: 10.1080/10618600.2023.2223574
       
  • On Simulating Skewed and Cluster-Weighted Data for Studying Performance of
           Clustering Algorithms

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      Authors: Volodymyr MelnykovYang WangYana MelnykovFrancesca TortiDomenico PerrottaMarco Riania University of Alabama; Tuscaloosa, ALb College of Charleston, Charleston, SCc Joint Research Centre of European Commission, Ispra, Italyd University of Parma, Parma, Italy
      Pages: 1 - 7
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-07-20T08:27:13Z
      DOI: 10.1080/10618600.2023.2210338
       
  • Maximum Likelihood Estimation of Hierarchical Linear Models from
           Incomplete Data: Random Coefficients, Statistical Interactions, and
           Measurement Error

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      Authors: Yongyun ShinStephen W. Raudenbusha Virginia Commonwealth University; Richmond, VAb University of Chicago, Chicago, IL
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-07-13T11:24:01Z
      DOI: 10.1080/10618600.2023.2234414
       
  • Variable Selection and Estimation for Misclassified Binary Responses and
           Multivariate Error-Prone Predictors

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      Authors: Li-Pang ChenDepartment of Statistics; National Chengchi University, Taipei, Taiwan (ROC)
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-07-10T07:08:22Z
      DOI: 10.1080/10618600.2023.2218428
       
  • A Unified Approach to Variable Selection for Partially Linear Models

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      Authors: Youhan LuYushen DongJuan HuYichao Wua Department of Math; Stat, & Comp Sci, University of Illinois Chicago, Chicago, ILb Department of Mathematical Sciences, DePaul University, Chicago, IL
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-07-10T07:08:07Z
      DOI: 10.1080/10618600.2023.2216254
       
  • A Scalable Method to Exploit Screening in Gaussian Process Models with
           Noise

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      Authors: Christopher J. GeogaMichael L. SteinDepartment of Statistics; Rutgers University, New Brunswick, NJ
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-30T05:31:35Z
      DOI: 10.1080/10618600.2023.2218027
       
  • Statistically Valid Variational Bayes Algorithm for Ising Model Parameter
           Estimation

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      Authors: Minwoo KimShrijita BhattacharyaTapabrata Maitia Statistics Program; King Abdullah University of Science Probability, Michigan State University, East Lansing, MI
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-30T05:30:03Z
      DOI: 10.1080/10618600.2023.2217869
       
  • Approximating Partial Likelihood Estimators via Optimal Subsampling

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      Authors: Haixiang ZhangLulu ZuoHaiYing WangLiuquan Suna Center for Applied Mathematics; Tianjin University, Tianjin, China;b Department of Statistics, University of Connecticut, Storrs, Mansfield, CT;c Academy of Mathematics Systems Science, Chinese Academy of Sciences, Beijing, China
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-30T05:28:05Z
      DOI: 10.1080/10618600.2023.2216261
       
  • Massive Parallelization of Massive Sample-Size Survival Analysis

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      Authors: Jianxiao YangMartijn J. SchuemieXiang JiMarc A. Sucharda Department of Computational Medicine; David Geffen School of Medicine at UCLA, Los Angeles, CAb Department of Biostatistics, Fielding School of Public Health at UCLA, Los Angeles, CAc Janssen Research Computing Infrastructure, US Department of Veterans Affairs, Salt Lake City, UT
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-26T03:42:31Z
      DOI: 10.1080/10618600.2023.2213279
       
  • Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes

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      Authors: Nicoletta D’AngeloGiada AdelfioJorge MateuOttmar Croniea Department of Business; Economics University of Gothenburg, Gothenburg, Sweden
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-21T10:48:27Z
      DOI: 10.1080/10618600.2023.2206441
       
  • Influential Observations in Bayesian Regression Tree Models

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      Authors: M. T. PratolaE. I. GeorgeR. E. McCullocha Department of Statistics; The Ohio State University, Columbus, OHb Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PAc School of Mathematical Statistical Sciences, Arizona State University, Tempe, AZ
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-21T10:42:04Z
      DOI: 10.1080/10618600.2023.2210180
       
  • On the Use of Minimum Penalties in Statistical Learning

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      Authors: Ben SherwoodBradley S. Pricea School of Business; University of Kansas, Lawrence, KSb Management Information Systems Department, West Virginia University, Morgantown, WV
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-20T07:49:07Z
      DOI: 10.1080/10618600.2023.2210174
       
  • Learning Block Structured Graphs in Gaussian Graphical Models

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      Authors: Alessandro ColombiRaffaele ArgientoLucia PaciAlessia Pinia Department of Economics; Management Statistics, Università degli studi di Milano-Bicocca, Milano, Italyb Department of Economics, Università degli studi di Bergamo, Bergamo, Italyc Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-15T04:42:17Z
      DOI: 10.1080/10618600.2023.2210184
       
  • Bayesian Model Choice for Directional Data

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      Authors: Christopher J. FallaizeTheodore KypraiosSchool of Mathematical Sciences; University of Nottingham, Nottingham, UK
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-13T06:35:11Z
      DOI: 10.1080/10618600.2023.2206076
       
  • EDI-Graphic: A Tool To Study Parameter Discrimination and Confirm
           Identifiability in Black-Box Models, and to Select Data-Generating
           Machines

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      Authors: Yannis G. Yatracosa Yau Mathematical Sciences Center; Tsinghua University, Beijing, Chinab Beijing Institute of Mathematical Sciences Applications, Beijing, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-12T08:47:42Z
      DOI: 10.1080/10618600.2023.2205483
       
  • Model-Based Tensor Low-Rank Clustering

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      Authors: Junge LiQing Maia Department of Statistics; Florida State University, Tallahassee, FL
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-06-01T06:40:09Z
      DOI: 10.1080/10618600.2023.2205913
       
  • Robust Transformations for Multiple Regression via Additivity and Variance
           Stabilization

    • Free pre-print version: Loading...

      Authors: Marco RianiAnthony C. AtkinsonAldo Corbellinia Dipartimento di Scienze; Economiche e Aziendale Interdepartmental Centre for Robust Statistics, Università di Parma, Parma, Italyb The London School of Economics, London, UK
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of Computational and Graphical Statistics
      PubDate: 2023-05-26T08:29:14Z
      DOI: 10.1080/10618600.2023.2205447
       
 
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