Journal of Computational and Graphical Statistics, Volume 30, Issue 3 (2021)

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Journal of Computational and Graphical Statistics, Volume 30, Issue 3 (2021)

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Dimensionality Reduction, Regularization, and Variable Selection

Article
Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods
Youyi Fong & Jun Xu
Pages: 519-529
Published online: 27 Jan 2021
AbstractforForward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods | Full Text | References | PDF (1.7 MB) | EPUB | Supplemental
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Article
Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles
Pascaline Descloux & Sylvain Sardy
Pages: 530-543
Published online: 01 Mar 2021
AbstractforModel Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles | Full Text | References | PDF (3 MB) | EPUB | Supplemental
  • 435 Views
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Article
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Peng Zheng, Ryan Barber, Reed J. D. Sorensen, Christopher J. L. Murray & Aleksandr Y. Aravkin
Pages: 544-556
Published online: 12 Feb 2021
AbstractforTrimmed Constrained Mixed Effects Models: Formulations and Algorithms | Full Text | References | PDF (2.4 MB) | EPUB
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Article
Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation
Ye Fan, Nan Lin & Xianjun Yin
Pages: 557-565
Published online: 11 Dec 2020
AbstractforPenalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation | Full Text | References | PDF (1.3 MB) | EPUB | Supplemental
  • 705 Views
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Article
MIP-BOOST: Efficient and Effective L0 Feature Selection for Linear Regression
Ana Kenney, Francesca Chiaromonte & Giovanni Felici
Pages: 566-577
Published online: 04 Jan 2021
AbstractforMIP-BOOST: Efficient and Effective L0 Feature Selection for Linear Regression | Full Text | References | PDF (1.9 MB) | EPUB | Supplemental
  • 455 Views
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Article
Bayesian Variable Selection for Gaussian Copula Regression Models
Angelos Alexopoulos & Leonardo Bottolo
Pages: 578-593
Published online: 10 Dec 2020
AbstractforBayesian Variable Selection for Gaussian Copula Regression Models | Full Text | References | PDF (2.2 MB) | EPUB | Supplemental
  • 843 Views
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Article
Distributed Bayesian Inference in Linear Mixed-Effects Models
Sanvesh Srivastava & Yixiang Xu
Pages: 594-611
Published online: 08 Mar 2021
AbstractforDistributed Bayesian Inference in Linear Mixed-Effects Models | Full Text | References | PDF (2.2 MB) | EPUB | Supplemental
  • 685 Views
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Article
An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression
Aaron J. Molstad, Guangwei Weng, Charles R. Doss & Adam J. Rothman
Pages: 612-621
Published online: 22 Jan 2021
AbstractforAn Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression | Full Text | References | PDF (1.6 MB) | EPUB | Supplemental
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Algorithms, Sampling, and Simulation

Article
Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion
Michael Jauch, Peter D. Hoff & David B. Dunson
Pages: 622-631
Published online: 01 Feb 2021
AbstractforMonte Carlo Simulation on the Stiefel Manifold via Polar Expansion | Full Text | References | PDF (1.3 MB) | EPUB | Supplemental
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Article
Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors
Rui Jin & Aixin Tan
Pages: 632-646
Published online: 04 Feb 2021
AbstractforFast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors | Full Text | References | PDF (1.9 MB) | EPUB | Supplemental
  • 686 Views
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Article
Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks
Marius Hofert, Avinash Prasad & Mu Zhu
Pages: 647-670
Published online: 05 Feb 2021
AbstractforQuasi-Random Sampling for Multivariate Distributions via Generative Neural Networks | Full Text | References | PDF (5.8 MB) | EPUB
  • 473 Views
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Article
Particle MCMC With Poisson Resampling: Parallelization and Continuous Time Models
Tomasz Ca̧kała, Błażej Miasojedow & Wojciech Niemiro
Pages: 671-684
Published online: 14 Dec 2020
AbstractforParticle MCMC With Poisson Resampling: Parallelization and Continuous Time Models | Full Text | References | PDF (2.3 MB) | EPUB | Supplemental
  • 305 Views
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Article
Scalable Algorithms for Large Competing Risks Data
Eric S. Kawaguchi, Jenny I. Shen, Marc A. Suchard & Gang Li
Pages: 685-693
Published online: 11 Dec 2020
AbstractforScalable Algorithms for Large Competing Risks Data | Full Text | References | PDF (1 MB) | EPUB | Supplemental
  • 440 Views
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Article
LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model
Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong & Ping Ma
Pages: 694-708
Published online: 11 Dec 2020
AbstractforLowCon: A Design-based Subsampling Approach in a Misspecified Linear Model | Full Text | References | PDF (3.1 MB) | EPUB | Supplemental
  • 566 Views
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Article
Kriging Riemannian Data via Random Domain Decompositions
Alessandra Menafoglio, Davide Pigoli & Piercesare Secchi
Pages: 709-727
Published online: 01 Jan 2021
AbstractforKriging Riemannian Data via Random Domain Decompositions | Full Text | References | PDF (4.5 MB) | EPUB | Supplemental
  • 247 Views
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Article
Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees
You-Lin Chen, Mladen Kolar & Ruey S. Tsay
Pages: 728-744
Published online: 25 Jan 2021
AbstractforTensor Canonical Correlation Analysis With Convergence and Statistical Guarantees | Full Text | References | PDF (2.1 MB) | EPUB | Supplemental
  • 489 Views
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Temporal, Survival, and Changepoint Methodology

Article
Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling
Clément Chevalier, Olivia Martius & David Ginsbourger
Pages: 745-755
Published online: 11 Dec 2020
AbstractforModeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling | Full Text | References | PDF (2.5 MB) | EPUB | Supplemental
  • 340 Views
  • 4 CrossRef citations
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Article
Nonparametric Anomaly Detection on Time Series of Graphs
Dorcas Ofori-Boateng, Yulia R. Gel & Ivor Cribben
Pages: 756-767
Published online: 07 Jan 2021
AbstractforNonparametric Anomaly Detection on Time Series of Graphs | Full Text | References | PDF (2.2 MB) | EPUB | Supplemental
  • 803 Views
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Article
Change-Point Detection for Graphical Models in the Presence of Missing Values
Malte Londschien, Solt Kovács & Peter Bühlmann
Pages: 768-779
Published online: 27 Jan 2021
AbstractforChange-Point Detection for Graphical Models in the Presence of Missing Values | Full Text | References | PDF (2 MB) | EPUB
  • 969 Views
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Article
Additive Functional Cox Model
Erjia Cui, Ciprian M. Crainiceanu & Andrew Leroux
Pages: 780-793
Published online: 01 Jan 2021
AbstractforAdditive Functional Cox Model | Full Text | References | PDF (2.7 MB) | EPUB | Supplemental
  • 1272 Views
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Article
Adaptive Bayesian Spectral Analysis of High-Dimensional Nonstationary Time Series
Zeda Li, Ori Rosen, Fabio Ferrarelli & Robert T. Krafty
Pages: 794-807
Published online: 01 Mar 2021
AbstractforAdaptive Bayesian Spectral Analysis of High-Dimensional Nonstationary Time Series | Full Text | References | PDF (3.3 MB) | EPUB | Supplemental
  • 519 Views
  • 1 CrossRef citations
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Article
Alternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation
Zifeng Zhao & Chun Yip Yau
Pages: 808-821
Published online: 12 Feb 2021
AbstractforAlternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation | Full Text | References | PDF (2 MB) | EPUB | Supplemental
  • 289 Views
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