Journal of Computational and Graphical Statistics, Volume 33, Issue 1 (2024)

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Journal of Computational and Graphical Statistics, Volume 33, Issue 1 (2024)

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Bayesian Methods

Article
Structured Shrinkage Priors
Maryclare Griffin & Peter D. Hoff
Pages: 1-14
Published online: 07 Sep 2023
AbstractforStructured Shrinkage Priors | Full Text | References | PDF (3.3 MB) | EPUB | Supplemental
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Article
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States
Yudan Zou, Yiqi Lin & Xinyuan Song
Pages: 15-24
Published online: 10 Aug 2023
AbstractforBayesian Heterogeneous Hidden Markov Models with an Unknown Number of States | Full Text | References | PDF (1.2 MB) | EPUB | Supplemental
  • 574 Views
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Article
Bayesian Model Choice for Directional Data
Christopher J. Fallaize & Theodore Kypraios
Pages: 25-34
Published online: 13 Jun 2023
AbstractforBayesian Model Choice for Directional Data | Full Text | References | PDF (4.1 MB) | EPUB | Supplemental
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Open Access
Article
Bayesian Multi-Task Variable Selection with an Application to Differential DAG Analysis
Guanxun Li & Quan Zhou
Pages: 35-46
Published online: 29 Sep 2023
AbstractforBayesian Multi-Task Variable Selection with an Application to Differential DAG Analysis | Full Text | References | PDF (1.2 MB) | EPUB | Supplemental
  • 151 Views
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Article
Influential Observations in Bayesian Regression Tree Models
M. T. Pratola, E. I. George & R. E. McCulloch
Pages: 47-63
Published online: 21 Jun 2023
AbstractforInfluential Observations in Bayesian Regression Tree Models | Full Text | References | PDF (5.8 MB) | EPUB | Supplemental
  • 223 Views
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Article
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference
David Bolin, Alexandre B. Simas & Zhen Xiong
Pages: 64-74
Published online: 04 Aug 2023
AbstractforCovariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference | Full Text | References | PDF (2.5 MB) | EPUB | Supplemental
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Open Access
Article
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation
Minwoo Kim, Shrijita Bhattacharya & Tapabrata Maiti
Pages: 75-84
Published online: 30 Jun 2023
AbstractforStatistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation | Full Text | References | PDF (1.4 MB) | EPUB | Supplemental
  • 271 Views
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Article
Robust Transformations for Multiple Regression via Additivity and Variance Stabilization
Marco Riani, Anthony C. Atkinson & Aldo Corbellini
Pages: 85-100
Published online: 26 May 2023
AbstractforRobust Transformations for Multiple Regression via Additivity and Variance Stabilization | Full Text | References | PDF (3.9 MB) | EPUB | Supplemental
  • 717 Views
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Open Access
Article
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization
Christopher Drovandi, David J. Nott & David T. Frazier
Pages: 101-111
Published online: 20 Jul 2023
AbstractforImproving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization | Full Text | References | PDF (1.9 MB) | EPUB | Supplemental
  • 625 Views
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Open Access
Article
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error
Yongyun Shin & Stephen W. Raudenbush
Pages: 112-125
Published online: 19 Sep 2023
AbstractforMaximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error | Full Text | References | PDF (1.3 MB) | EPUB | Supplemental
  • 768 Views
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Open Access

Graphical Methods

Article
EDI-Graphic: A Tool To Study Parameter Discrimination and Confirm Identifiability in Black-Box Models, and to Select Data-Generating Machines
Yannis G. Yatracos
Pages: 126-137
Published online: 12 Jun 2023
AbstractforEDI-Graphic: A Tool To Study Parameter Discrimination and Confirm Identifiability in Black-Box Models, and to Select Data-Generating Machines | Full Text | References | PDF (2.5 MB) | EPUB | Supplemental
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Open Access

Statistical Learning

Article
On the Use of Minimum Penalties in Statistical Learning
Ben Sherwood & Bradley S. Price
Pages: 138-151
Published online: 20 Jun 2023
AbstractforOn the Use of Minimum Penalties in Statistical Learning | Full Text | References | PDF (2.9 MB) | EPUB | Supplemental
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Article
Learning Block Structured Graphs in Gaussian Graphical Models
Alessandro Colombi, Raffaele Argiento, Lucia Paci & Alessia Pini
Pages: 152-165
Published online: 15 Jun 2023
AbstractforLearning Block Structured Graphs in Gaussian Graphical Models | Full Text | References | PDF (3.8 MB) | EPUB | Supplemental
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Article
Improving and Extending STERGM Approximations Based on Cross-Sectional Data and Tie Durations
Chad Klumb, Martina Morris, Steven M. Goodreau & Samuel M. Jenness
Pages: 166-180
Published online: 29 Aug 2023
AbstractforImproving and Extending STERGM Approximations Based on Cross-Sectional Data and Tie Durations | Full Text | References | PDF (1.9 MB) | EPUB | Supplemental
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Article
Functional Nonlinear Learning
Haixu Wang & Jiguo Cao
Pages: 181-191
Published online: 08 Aug 2023
AbstractforFunctional Nonlinear Learning | Full Text | References | PDF (2 MB) | EPUB | Supplemental
  • 321 Views
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Article
Accelerated and Interpretable Oblique Random Survival Forests
Byron C. Jaeger, Sawyer Welden, Kristin Lenoir, Jaime L. Speiser, Matthew W. Segar, Ambarish Pandey & Nicholas M. Pajewski
Pages: 192-207
Published online: 08 Aug 2023
AbstractforAccelerated and Interpretable Oblique Random Survival Forests | Full Text | References | PDF (4.1 MB) | EPUB | Supplemental
  • 380 Views
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Article
Model-Based Tensor Low-Rank Clustering
Junge Li & Qing Mai
Pages: 208-218
Published online: 01 Jun 2023
AbstractforModel-Based Tensor Low-Rank Clustering | Full Text | References | PDF (1.3 MB) | EPUB | Supplemental
  • 368 Views
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Article
Statistical Significance of Clustering with Multidimensional Scaling
Hui Shen, Shankar Bhamidi & Yufeng Liu
Pages: 219-230
Published online: 20 Jul 2023
AbstractforStatistical Significance of Clustering with Multidimensional Scaling | Full Text | References | PDF (1.7 MB) | EPUB | Supplemental
  • 407 Views
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Article
Exactly Uncorrelated Sparse Principal Component Analysis
Oh-Ran Kwon, Zhaosong Lu & Hui Zou
Pages: 231-241
Published online: 30 Aug 2023
AbstractforExactly Uncorrelated Sparse Principal Component Analysis | Full Text | References | PDF (1,011.3 KB) | EPUB | Supplemental
  • 483 Views
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Article
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors
Xinyi Zhang, Qiang Sun & Dehan Kong
Pages: 242-249
Published online: 29 Sep 2023
AbstractforSupervised Principal Component Regression for Functional Responses with High Dimensional Predictors | Full Text | References | PDF (829.7 KB) | EPUB | Supplemental
  • 177 Views
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Article
A Unified Approach to Variable Selection for Partially Linear Models
Youhan Lu, Yushen Dong, Juan Hu & Yichao Wu
Pages: 250-260
Published online: 10 Jul 2023
AbstractforA Unified Approach to Variable Selection for Partially Linear Models | Full Text | References | PDF (2.2 MB) | EPUB | Supplemental
  • 308 Views
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Article
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models
Aleksei Sholokhov, James V. Burke, Damian F. Santomauro, Peng Zheng & Aleksandr Aravkin
Pages: 261-275
Published online: 14 Sep 2023
AbstractforA Relaxation Approach to Feature Selection for Linear Mixed Effects Models | Full Text | References | PDF (2 MB) | EPUB | Supplemental
  • 209 Views
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Article
Approximating Partial Likelihood Estimators via Optimal Subsampling
Haixiang Zhang, Lulu Zuo, HaiYing Wang & Liuquan Sun
Pages: 276-288
Published online: 30 Jun 2023
AbstractforApproximating Partial Likelihood Estimators via Optimal Subsampling | Full Text | References | PDF (1.4 MB) | EPUB | Supplemental
  • 374 Views
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Article
Massive Parallelization of Massive Sample-Size Survival Analysis
Jianxiao Yang, Martijn J. Schuemie, Xiang Ji & Marc A. Suchard
Pages: 289-302
Published online: 26 Jun 2023
AbstractforMassive Parallelization of Massive Sample-Size Survival Analysis | Full Text | References | PDF (1.9 MB) | EPUB
  • 645 Views
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Open Access
Note
On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms
Volodymyr Melnykov, Yang Wang, Yana Melnykov, Francesca Torti, Domenico Perrotta & Marco Riani
Pages: 303-309
Published online: 20 Jul 2023
AbstractforOn Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms | Full Text | References | PDF (2.1 MB) | EPUB | Supplemental
  • 137 Views
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Note
Improved Pathwise Coordinate Descent for Power Penalties
Maryclare Griffin
Pages: 310-315
Published online: 15 Nov 2023
AbstractforImproved Pathwise Coordinate Descent for Power Penalties | Full Text | References | PDF (1.8 MB) | EPUB | Supplemental
  • 93 Views
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Note
Iteratively Reweighted Least Squares Method for Estimating Polyserial and Polychoric Correlation Coefficients
Peng Zhang, Ben Liu & Jingjing Pan
Pages: 316-328
Published online: 07 Nov 2023
AbstractforIteratively Reweighted Least Squares Method for Estimating Polyserial and Polychoric Correlation Coefficients | Full Text | References | PDF (3.6 MB) | EPUB | Supplemental
  • 595 Views
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Open Access
Retraction
Statement of Retraction: Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring
Page: 329
Published online: 27 Nov 2023
CitationforStatement of Retraction: Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring | Full Text | PDF (129.1 KB) | EPUB
  • 329 Views
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Free Access
Article
Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring
Cole Sodja
Pages: i-xiii
Published online: 12 Feb 2021
AbstractforDetecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring | PDF (2.9 MB) | Supplemental
  • 236 Views
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The Journal of Computational and Graphical Statistics 2023 Associate Editors
Pages: xiv-xv
Published online: 26 Feb 2024
CitationforThe Journal of Computational and Graphical Statistics 2023 Associate Editors | Full Text | PDF (145 KB) | EPUB
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