Journal of Computational and Graphical Statistics, Volume 30, Issue 4 (2021)

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Journal of Computational and Graphical Statistics, Volume 30, Issue 4 (2021)

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Regularization

Article
Estimating Multiple Precision Matrices With Cluster Fusion Regularization
Bradley S. Price, Aaron J. Molstad & Ben Sherwood
Pages: 823-834
Published online: 19 Mar 2021
AbstractforEstimating Multiple Precision Matrices With Cluster Fusion Regularization | Full Text | References | PDF (1.4 MB) | EPUB | Supplemental
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Article
Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression
Mark A. van de Wiel, Mirrelijn M. van Nee & Armin Rauschenberger
Pages: 835-847
Published online: 19 May 2021
AbstractforFast Cross-validation for Multi-penalty High-dimensional Ridge Regression | Full Text | References | PDF (1.6 MB) | EPUB | Supplemental
  • 668 Views
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Article
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression
Ting Yang & Zhiqiang Tan
Pages: 848-862
Published online: 21 Jun 2021
AbstractforHierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression | Full Text | References | PDF (2.1 MB) | EPUB | Supplemental
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Sampling Methods

Article
Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks
Nelson Antunes, Shankar Bhamidi, Tianjian Guo, Vladas Pipiras & Bang Wang
Pages: 863-876
Published online: 12 Mar 2021
AbstractforSampling Based Estimation of In-Degree Distribution for Directed Complex Networks | Full Text | References | PDF (2.8 MB) | EPUB | Supplemental
  • 304 Views
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Article
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC
Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn & Khue-Dung Dang
Pages: 877-888
Published online: 01 Jun 2021
AbstractforThe Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC | Full Text | References | PDF (2 MB) | EPUB | Supplemental
  • 392 Views
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Article
An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model
Jonathan R. Bradley
Pages: 889-905
Published online: 21 Jun 2021
AbstractforAn Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model | Full Text | References | PDF (3.4 MB) | EPUB
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Article
Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models
Kjartan Kloster Osmundsen, Tore Selland Kleppe & Roman Liesenfeld
Pages: 906-919
Published online: 18 Jun 2021
AbstractforImportance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models | Full Text | References | PDF (1.5 MB) | EPUB | Supplemental
  • 1878 Views
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Open Access

Approximation Approaches to Inference

Article
Iterative Likelihood: A Unified Inference Tool
Haiying Wang, Dixin Zhang, Hua Liang & David Ruppert
Pages: 920-933
Published online: 22 Apr 2021
AbstractforIterative Likelihood: A Unified Inference Tool | Full Text | References | PDF (1.3 MB) | EPUB | Supplemental
  • 337 Views
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Article
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference
Randy C. S. Lai, Jan Hannig & Thomas C. M. Lee
Pages: 934-945
Published online: 18 Jun 2021
AbstractforMethod G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference | Full Text | References | PDF (2.7 MB) | EPUB | Supplemental
  • 160 Views
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Article
Manifold Optimization-Assisted Gaussian Variational Approximation
Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran & Richard Gerlach
Pages: 946-957
Published online: 21 Jun 2021
AbstractforManifold Optimization-Assisted Gaussian Variational Approximation | Full Text | References | PDF (2.2 MB) | EPUB | Supplemental
  • 347 Views
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Article
Robust Approximate Bayesian Inference With Synthetic Likelihood
David T. Frazier & Christopher Drovandi
Pages: 958-976
Published online: 15 Mar 2021
AbstractforRobust Approximate Bayesian Inference With Synthetic Likelihood | Full Text | References | PDF (3.6 MB) | EPUB | Supplemental
  • 1138 Views
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Article
Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance
Xuejun Yu, David J. Nott, Minh-Ngoc Tran & Nadja Klein
Pages: 977-990
Published online: 18 Mar 2021
AbstractforAssessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance | Full Text | References | PDF (2.8 MB) | EPUB | Supplemental
  • 386 Views
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Article
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data
Martin Slawski, Guoqing Diao & Emanuel Ben-David
Pages: 991-1003
Published online: 04 Mar 2021
AbstractforA Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data | Full Text | References | PDF (2.6 MB) | EPUB | Supplemental
  • 450 Views
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Article
Least-Square Approximation for a Distributed System
Xuening Zhu, Feng Li & Hansheng Wang
Pages: 1004-1018
Published online: 21 Jun 2021
AbstractforLeast-Square Approximation for a Distributed System | Full Text | References | PDF (1.6 MB) | EPUB | Supplemental
  • 1438 Views
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Article
Assessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions
Lu Yang
Pages: 1019-1035
Published online: 12 May 2021
AbstractforAssessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions | Full Text | References | PDF (6 MB) | EPUB | Supplemental
  • 2072 Views
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Open Access
Article
Model-Based Microbiome Data Ordination: A Variational Approximation Approach
Yanyan Zeng, Hongyu Zhao & Tao Wang
Pages: 1036-1048
Published online: 15 Mar 2021
AbstractforModel-Based Microbiome Data Ordination: A Variational Approximation Approach | Full Text | References | PDF (2.9 MB) | EPUB | Supplemental
  • 944 Views
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Article
Logistic Regression Models for Aggregated Data
T. Whitaker, B. Beranger & S. A. Sisson
Pages: 1049-1067
Published online: 20 Apr 2021
AbstractforLogistic Regression Models for Aggregated Data | Full Text | References | PDF (2.4 MB) | EPUB | Supplemental
  • 766 Views
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Spatial, Temporal, and Networks

Article
Spatial Shrinkage Via the Product Independent Gaussian Process Prior
Arkaprava Roy, Brian J. Reich, Joseph Guinness, Russell T. Shinohara & Ana-Maria Staicu
Pages: 1068-1080
Published online: 21 Jun 2021
AbstractforSpatial Shrinkage Via the Product Independent Gaussian Process Prior | Full Text | References | PDF (2 MB) | EPUB | Supplemental
  • 449 Views
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Article
False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data
Hsin-Cheng Huang, Noel Cressie, Andrew Zammit-Mangion & Guowen Huang
Pages: 1081-1094
Published online: 08 Mar 2021
AbstractforFalse Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data | Full Text | References | PDF (4.9 MB) | EPUB | Supplemental
  • 440 Views
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Article
Multi-Resolution Filters for Massive Spatio-Temporal Data
Marcin Jurek & Matthias Katzfuss
Pages: 1095-1110
Published online: 31 Mar 2021
AbstractforMulti-Resolution Filters for Massive Spatio-Temporal Data | Full Text | References | PDF (2.5 MB) | EPUB | Supplemental
  • 514 Views
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Article
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks
Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe & Vince Lyzinski
Pages: 1111-1123
Published online: 05 Mar 2021
AbstractforMaximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks | Full Text | References | PDF (2 MB) | EPUB | Supplemental
  • 424 Views
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Article
Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty
Danielle Sass, Bo Li & Brian J. Reich
Pages: 1124-1142
Published online: 19 Jul 2021
AbstractforFlexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty | Full Text | References | PDF (5.5 MB) | EPUB | Supplemental
  • 422 Views
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Article
Matrix Autoregressive Spatio-Temporal Models
Nan-Jung Hsu, Hsin-Cheng Huang & Ruey S. Tsay
Pages: 1143-1155
Published online: 22 Jul 2021
AbstractforMatrix Autoregressive Spatio-Temporal Models | Full Text | References | PDF (2.9 MB) | EPUB | Supplemental
  • 1158 Views
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Dimension Reduction and Prediction

Article
Cluster Optimized Proximity Scaling
Thomas Rusch, Patrick Mair & Kurt Hornik
Pages: 1156-1167
Published online: 16 Feb 2021
AbstractforCluster Optimized Proximity Scaling | Full Text | References | PDF (1.8 MB) | EPUB | Supplemental
  • 2178 Views
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Open Access
Article
A Projection Pursuit Forest Algorithm for Supervised Classification
Natalia da Silva, Dianne Cook & Eun-Kyung Lee
Pages: 1168-1180
Published online: 16 Feb 2021
AbstractforA Projection Pursuit Forest Algorithm for Supervised Classification | Full Text | References | PDF (4 MB) | EPUB | Supplemental
  • 470 Views
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Article
Predictive Distribution Modeling Using Transformation Forests
Torsten Hothorn & Achim Zeileis
Pages: 1181-1196
Published online: 08 Mar 2021
AbstractforPredictive Distribution Modeling Using Transformation Forests | Full Text | References | PDF (3.6 MB) | EPUB | Supplemental
  • 3932 Views
  • 9 CrossRef citations
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Open Access
Article
Projected Pólya Tree
Luis Nieto-Barajas & Gabriel Núñez-Antonio
Pages: 1197-1208
Published online: 18 Jun 2021
AbstractforProjected Pólya Tree | Full Text | References | PDF (2.3 MB) | EPUB | Supplemental
  • 201 Views
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Article
Online Updating of Survival Analysis
Jing Wu, Ming-Hui Chen, Elizabeth D. Schifano & Jun Yan
Pages: 1209-1223
Published online: 08 Mar 2021
AbstractforOnline Updating of Survival Analysis | Full Text | References | PDF (2.6 MB) | EPUB | Supplemental
  • 894 Views
  • 4 CrossRef citations
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Article
Sequential Learning of Active Subspaces
Nathan Wycoff, Mickaël Binois & Stefan M. Wild
Pages: 1224-1237
Published online: 08 Mar 2021
AbstractforSequential Learning of Active Subspaces | Full Text | References | PDF (2.9 MB) | EPUB | Supplemental
  • 810 Views
  • 4 CrossRef citations
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Article
Learning Multiple Quantiles With Neural Networks
Sang Jun Moon, Jong-June Jeon, Jason Sang Hun Lee & Yongdai Kim
Pages: 1238-1248
Published online: 07 May 2021
AbstractforLearning Multiple Quantiles With Neural Networks | Full Text | References | PDF (1.8 MB) | EPUB | Supplemental
  • 6910 Views
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Open Access

Short Technical Note

Note
Fast Computation of Latent Correlations
Grace Yoon, Christian L. Müller & Irina Gaynanova
Pages: 1249-1256
Published online: 29 Mar 2021
AbstractforFast Computation of Latent Correlations | Full Text | References | PDF (1.5 MB) | EPUB | Supplemental
  • 723 Views
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