Journal: J. Comput. Graph. Stat.

Volume 30, Issue 4

823 -- 834Bradley S. Price, Aaron J. Molstad, Ben Sherwood. Estimating Multiple Precision Matrices With Cluster Fusion Regularization
835 -- 847Mark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger. Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression
848 -- 862Ting Yang, Zhiqiang Tan. Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression
863 -- 876Nelson Antunes, Shankar Bhamidi, Tianjian Guo, Vladas Pipiras, Bang Wang. Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks
877 -- 888Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang. The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC
889 -- 905Jonathan R. Bradley. An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model
906 -- 919Kjartan Kloster Osmundsen, Tore Selland Kleppe, Roman Liesenfeld. Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models
920 -- 933Haiying Wang, Dixin Zhang, Hua Liang, David Ruppert. Iterative Likelihood: A Unified Inference Tool
934 -- 945Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee. Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference
946 -- 957Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach. Manifold Optimization-Assisted Gaussian Variational Approximation
958 -- 976David T. Frazier, Christopher C. Drovandi. Robust Approximate Bayesian Inference With Synthetic Likelihood
977 -- 990Xuejun Yu, David J. Nott, Minh-Ngoc Tran, Nadja Klein. Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance
991 -- 1003Martin Slawski, Guoqing Diao, Emanuel Ben-David. A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data
1004 -- 1018Xuening Zhu, Feng Li 0028, Hansheng Wang. Least-Square Approximation for a Distributed System
1019 -- 1035Lu Yang. Assessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions
1036 -- 1048Yanyan Zeng, Hongyu Zhao, Tao Wang 0067. Model-Based Microbiome Data Ordination: A Variational Approximation Approach
1049 -- 1067Thomas Whitaker, Boris Beranger, Scott A. Sisson. Logistic Regression Models for Aggregated Data
1068 -- 1080Arkaprava Roy, Brian J. Reich, Joseph Guinness, Russell T. Shinohara, Ana-Maria Staicu. Spatial Shrinkage Via the Product Independent Gaussian Process Prior
1081 -- 1094Hsin-Cheng Huang, Noel Cressie, Andrew Zammit Mangion, Guowen Huang. False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data
1095 -- 1110Marcin Jurek, Matthias Katzfuss. Multi-Resolution Filters for Massive Spatio-Temporal Data
1111 -- 1123Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski. Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks
1124 -- 1142Danielle Sass, Bo Li, Brian J. Reich. Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty
1143 -- 1155Nan-Jung Hsu, Hsin-Cheng Huang, Ruey S. Tsay. Matrix Autoregressive Spatio-Temporal Models
1156 -- 1167Thomas Rusch, Patrick Mair, Kurt Hornik. Cluster Optimized Proximity Scaling
1168 -- 1180Natalia da Silva, Dianne Cook, Eun-Kyung Lee. A Projection Pursuit Forest Algorithm for Supervised Classification
1181 -- 1196Torsten Hothorn, Achim Zeileis. Predictive Distribution Modeling Using Transformation Forests
1197 -- 1208Luis Nieto-Barajas, Gabriel Núñez-Antonio. Projected Pólya Tree
1209 -- 1223Jing Wu, Ming-Hui Chen, Elizabeth D. Schifano, Jun Yan 0002. Online Updating of Survival Analysis
1224 -- 1237Nathan Wycoff, Mickaël Binois, Stefan M. Wild. Sequential Learning of Active Subspaces
1238 -- 1248Sang Jun Moon, Jong-June Jeon, Jason Sang Hun Lee, Yongdai Kim. Learning Multiple Quantiles With Neural Networks
1249 -- 1256Grace Yoon, Christian L. Müller, Irina Gaynanova. Fast Computation of Latent Correlations

Volume 30, Issue 3

519 -- 529Youyi Fong, Jun Xu. Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods
530 -- 543Pascaline Descloux, Sylvain Sardy. Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles
544 -- 556Peng Zheng, Ryan Barber, Reed J. D. Sorensen, Christopher J. L. Murray, Aleksandr Y. Aravkin. Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
557 -- 565Ye Fan, Nan Lin, Xianjun Yin. Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation
566 -- 577Ana Kenney, Francesca Chiaromonte, Giovanni Felici. 0 Feature Selection for Linear Regression
578 -- 593Angelos Alexopoulos, Leonardo Bottolo. Bayesian Variable Selection for Gaussian Copula Regression Models
594 -- 611Sanvesh Srivastava, Yixiang Xu. Distributed Bayesian Inference in Linear Mixed-Effects Models
612 -- 621Aaron J. Molstad, Guangwei Weng, Charles R. Doss, Adam J. Rothman. An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression
622 -- 631Michael Jauch, Peter D. Hoff, David B. Dunson. Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion
632 -- 646Rui Jin, Aixin Tan. Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors
647 -- 670Marius Hofert, Avinash Prasad, Mu Zhu. Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks
671 -- 684Tomasz Cakala, Blazej Miasojedow, Wojciech Niemiro. Particle MCMC With Poisson Resampling: Parallelization and Continuous Time Models
685 -- 693Eric S. Kawaguchi, Jenny I. Shen, Marc A. Suchard, Gang Li. Scalable Algorithms for Large Competing Risks Data
694 -- 708Cheng Meng, Rui Xie 0002, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, Ping Ma. LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model
709 -- 727Alessandra Menafoglio, Davide Pigoli, Piercesare Secchi. Kriging Riemannian Data via Random Domain Decompositions
728 -- 744You-Lin Chen, Mladen Kolar, Ruey S. Tsay. Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees
745 -- 755Clément Chevalier, Olivia Martius, David Ginsbourger. Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling
756 -- 767Dorcas Ofori-Boateng, Yulia R. Gel, Ivor Cribben. Nonparametric Anomaly Detection on Time Series of Graphs
768 -- 779Malte Londschien, Solt Kovács, Peter Bühlmann. Change-Point Detection for Graphical Models in the Presence of Missing Values
780 -- 793Erjia Cui, Ciprian M. Crainiceanu, Andrew Leroux. Additive Functional Cox Model
794 -- 807Zeda Li, Ori Rosen, Fabio Ferrarelli, Robert T. Krafty. Adaptive Bayesian Spectral Analysis of High-Dimensional Nonstationary Time Series
808 -- 821Zifeng Zhao, Chun Yip Yau. Alternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation

Volume 30, Issue 2

249 -- 259Lewis J. Rendell, Adam M. Johansen, Anthony Lee, Nick Whiteley. Global Consensus Monte Carlo
260 -- 268Ingmar Schuster, Ilja Klebanov. Markov Chain Importance Sampling - A Highly Efficient Estimator for MCMC
269 -- 283Jaewoo Park, Murali Haran. Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models
284 -- 296Jianchang Hu, Yazhen Wang. Quantum Annealing via Path-Integral Monte Carlo With Data Augmentation
297 -- 311Qi Wang, Vinayak Rao, Yee Whye Teh. An Exact Auxiliary Variable Gibbs Sampler for a Class of Diffusions
312 -- 323Philippe Gagnon, Arnaud Doucet. Nonreversible Jump Algorithms for Bayesian Nested Model Selection
324 -- 334Nathan Robertson, James M. Flegal, Dootika Vats, Galin L. Jones. Assessing and Visualizing Simultaneous Simulation Error
335 -- 348Maxime Vono, Nicolas Dobigeon, Pierre Chainais. Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
349 -- 359Amanda Lenzi, Stefano Castruccio, Håvard Rue, Marc G. Genton. Improving Bayesian Local Spatial Models in Large Datasets
360 -- 374Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles. Anomaly Detection in High-Dimensional Data
375 -- 389Mitchell Krock, William Kleiber, Stephen Becker. Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso
390 -- 405Daniel K. Sewell. Model-Based Edge Clustering
406 -- 421Neil G. Marchant, Andee Kaplan, Daniel N. Elazar, Benjamin I. P. Rubinstein, Rebecca C. Steorts. d-blink: Distributed End-to-End Bayesian Entity Resolution
422 -- 441Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette. Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering
442 -- 451Mengxi Yi, David E. Tyler. Shrinking the Covariance Matrix Using Convex Penalties on the Matrix-Log Transformation
452 -- 466Jean-François Bégin, Mathieu Boudreault. Likelihood Evaluation of Jump-Diffusion Models Using Deterministic Nonlinear Filters
467 -- 483Nadja Klein, David J. Nott, Michael Stanley Smith. Marginally Calibrated Deep Distributional Regression
484 -- 492Yao Chen, Qingyi Gao, Faming Liang, Xiao Wang. Nonlinear Variable Selection via Deep Neural Networks
493 -- 502Indrayudh Ghosal, Giles Hooker. Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate
503 -- 517Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager. Local Linear Forests

Volume 30, Issue 1

0 -- 0. JCGS Editorial Collaborators
1 -- 10Myungjin Kim, Li Wang 0035. Generalized Spatially Varying Coefficient Models
11 -- 24Andrew J. Holbrook, Philippe Lemey, Guy Baele, Simon Dellicour, Dirk Brockmann, Andrew Rambaut, Marc A. Suchard. Massive Parallelization Boosts Big Bayesian Multidimensional Scaling
25 -- 42Boqian Zhang, Vinayak Rao. Efficient Parameter Sampling for Markov Jump Processes
43 -- 54Jingxiang Chen, Quoc Tran-Dinh, Michael R. Kosorok, Yufeng Liu. Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion
55 -- 66Richard G. Everitt, Paulina A. Rowinska. Delayed Acceptance ABC-SMC
67 -- 77Chao Cheng, Rui Wang, Heping Zhang. Surrogate Residuals for Discrete Choice Models
78 -- 90Stanislav Nagy, Jirí Dvorák. Illumination Depth
91 -- 105Christian Rohrbeck, Jonathan A. Tawn. Bayesian Spatial Clustering of Extremal Behavior for Hydrological Variables
106 -- 114Tao Zhang, Yang Ning, David Ruppert. Optimal Sampling for Generalized Linear Models Under Measurement Constraints
115 -- 124Yuan Feng, Luo Xiao, Eric C. Chi. Sparse Single Index Models for Multivariate Responses
125 -- 132Chen Lin, Kevin Y. X. Wang, Samuel Müller 0001. MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization
133 -- 143Marcio Valk, Gabriela Bettella Cybis. U-Statistical Inference for Hierarchical Clustering
144 -- 161Spencer Woody, Carlos M. Carvalho, Jared S. Murray. Model Interpretation Through Lower-Dimensional Posterior Summarization
162 -- 170Minh Pham, Anh Ninh, Hoang Le, Yufeng Liu. An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions
171 -- 181Zeda Li, Yuexiao Dong. Model-Free Variable Selection With Matrix-Valued Predictors
182 -- 191Nathaniel E. Helwig. Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers
192 -- 203Jeongyoun Ahn, Hee Cheol Chung, Yongho Jeon. Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination
204 -- 219Sevvandi Kandanaarachchi, Rob J. Hyndman. Dimension Reduction for Outlier Detection Using DOBIN
220 -- 235Ruiyan Luo, Xin Qi. Functional Regression for Densely Observed Data With Novel Regularization
236 -- 247George Karabatsos. Fast Search and Estimation of Bayesian Nonparametric Mixture Models Using a Classification Annealing EM Algorithm