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ORCIDJournal of Computational and Graphical Statistics, Volume 33
Volume 33, Number 1, 2024
- Cole Sodja:
Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring. - Maryclare Griffin, Peter D. Hoff:
Structured Shrinkage Priors. 1-14 - Yudan Zou, Yiqi Lin, Xinyuan Song:
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States. 15-24 - Christopher J. Fallaize, Theodore Kypraios:
Bayesian Model Choice for Directional Data. 25-34 - Guanxun Li, Quan Zhou:
Bayesian Multi-Task Variable Selection with an Application to Differential DAG Analysis. 35-46 - Matthew T. Pratola, Edward I. George, Robert E. McCulloch:
Influential Observations in Bayesian Regression Tree Models. 47-63 - David Bolin, Alexandre B. Simas, Zhen Xiong:
Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference. 64-74 - Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti:
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. 75-84 - Marco Riani, Anthony C. Atkinson, Aldo Corbellini:
Robust Transformations for Multiple Regression via Additivity and Variance Stabilization. 85-100 - Christopher C. Drovandi, David J. Nott, David T. Frazier:
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization. 101-111 - Yongyun Shin, Stephen Raudenbush:
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error. 112-125 - Yannis G. Yatracos:
EDI-Graphic: A Tool To Study Parameter Discrimination and Confirm Identifiability in Black-Box Models, and to Select Data-Generating Machines. 126-137 - Ben Sherwood, Bradley S. Price:
On the Use of Minimum Penalties in Statistical Learning. 138-151 - Alessandro Colombi, Raffaele Argiento, Lucia Paci, Alessia Pini:
Learning Block Structured Graphs in Gaussian Graphical Models. 152-165 - Chad Klumb, Martina Morris, Steven M. Goodreau, Samuel M. Jenness:
Improving and Extending STERGM Approximations Based on Cross-Sectional Data and Tie Durations. 166-180 - Haixu Wang, Jiguo Cao:
Functional Nonlinear Learning. 181-191 - Byron C. Jaeger, Sawyer Welden, Kristin M. Lenoir, Jaime Lynn Speiser, Matthew W. Segar, Ambarish Pandey, Nicholas M. Pajewski:
Accelerated and Interpretable Oblique Random Survival Forests. 192-207 - Junge Li, Qing Mai:
Model-Based Tensor Low-Rank Clustering. 208-218 - Hui Shen, Shankar Bhamidi, Yufeng Liu:
Statistical Significance of Clustering with Multidimensional Scaling. 219-230 - Oh-Ran Kwon, Zhaosong Lu, Hui Zou:
Exactly Uncorrelated Sparse Principal Component Analysis. 231-241 - Xinyi Zhang, Qiang Sun, Dehan Kong:
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors. 242-249 - Youhan Lu, Yushen Dong, Juan Hu, Yichao Wu:
A Unified Approach to Variable Selection for Partially Linear Models. 250-260 - Aleksei Sholokhov, James V. Burke, Damian F. Santomauro, Peng Zheng, Aleksandr Y. Aravkin:
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models. 261-275 - Haixiang Zhang, Lulu Zuo, HaiYing Wang, Liuquan Sun:
Approximating Partial Likelihood Estimators via Optimal Subsampling. 276-288 - Jianxiao Yang, Martijn J. Schuemie, Xiang Ji, Marc A. Suchard:
Massive Parallelization of Massive Sample-Size Survival Analysis. 289-302 - Volodymyr Melnykov, Yang Wang, Yana Melnykov, Francesca Torti, Domenico Perrotta, Marco Riani:
On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms. 303-309 - Maryclare Griffin:
Improved Pathwise Coordinate Descent for Power Penalties. 310-315 - Peng Zhang, Ben Liu, Jingjing Pan:
Iteratively Reweighted Least Squares Method for Estimating Polyserial and Polychoric Correlation Coefficients. 316-328 - Statement of Retraction: Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring. 329
Volume 33, Number 2, 2024
- Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa:
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions. 331-340 - Tom Stindl, Feng Chen:
EM Algorithm for the Estimation of the RETAS Model. 341-351 - Yongshi Deng, Thomas Lumley:
Multiple Imputation Through XGBoost. 352-363 - Santeri Karppinen, Sumeetpal S. Singh, Matti Vihola:
Conditional Particle Filters with Bridge Backward Sampling. 364-378 - Priyam Das, Deborshee Sen, Debsurya De, Jue Hou, Zahra Shakeri Hossein Abad, Nicole Kim, Zongqi Xia, Tianxi Cai:
Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR). 379-392 - Medha Agarwal, Jason Xu:
Quasi-Newton Acceleration of EM and MM Algorithms via Broyden's Method. 393-406 - Li-Pang Chen:
Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors. 407-420 - Fan Chen, Karl Rohe:
A New Basis for Sparse Principal Component Analysis. 421-434 - Lih-Yuan Deng, Ching-Chi Yang, Dale Bowman, Dennis K. J. Lin, Henry Horng-Shing Lu:
Big Data Model Building Using Dimension Reduction and Sample Selection. 435-447 - Sarbojit Roy, Soham Sarkar, Subhajit Dutta, Anil Kumar Ghosh:
On Exact Feature Screening in Ultrahigh-Dimensional Binary Classification. 448-462 - Wenjia Wang, Yusi Fang, Chung Chang, George C. Tseng:
Accurate and Ultra-Efficient p -Value Calculation for Higher Criticism Tests. 463-476 - Zhiyong Hu, Dipak K. Dey:
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty. 477-486 - Maoyu Zhang, Jingfei Zhang, Wenlin Dai:
Fast Community Detection in Dynamic and Heterogeneous Networks. 487-500 - Jie Hu, Xiao Chen, Yu Chen, Weiping Zhang:
Joint Network Reconstruction and Community Detection from Rich but Noisy Data. 501-514 - Yuzhao Zhang, Jingnan Zhang, Yifan Sun, Junhui Wang:
Change Point Detection in Dynamic Networks via Regularized Tensor Decomposition. 515-524 - Walter Dempsey:
Recurrent Event Analysis in the Presence of Real-Time High Frequency Data via Random Subsampling. 525-537 - Leying Guan:
Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates. 538-550 - Lukasz Kidzinski, Trevor Hastie:
Modeling Longitudinal Data Using Matrix Completion. 551-566 - William Consagra, Arun Venkataraman, Xing Qiu:
Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems. 567-577 - Ruiyan Luo, Xin Qi:
General Nonlinear Function-on-Function Regression via Functional Universal Approximation. 578-587 - Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu, Ottmar Cronie:
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes. 588-602 - Christopher J. Geoga, Michael L. Stein:
A Scalable Method to Exploit Screening in Gaussian Process Models with Noise. 603-613 - Xufei Wang, Bo Jiang, Jun S. Liu:
Varying Coefficient Model via Adaptive Spline Fitting. 614-624 - Rebeka Man, Xiaoou Pan, Kean Ming Tan, Wen-Xin Zhou:
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression. 625-637 - David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim:
Deeply Learned Generalized Linear Models with Missing Data. 638-650 - Martin Storath, Andreas Weinmann:
Smoothing Splines for Discontinuous Signals. 651-664 - David Gunawan, Robert Kohn, David J. Nott:
Flexible Variational Bayes Based on a Copula of a Mixture. 665-680 - Lanjue Chen, Jin Su, Alan T. K. Wan, Yong Zhou:
A Simple Divide-and-Conquer-based Distributed Method for the Accelerated Failure Time Model. 681-698 - Vít Fojtík, Petra Laketa, Pavlo Mozharovskyi, Stanislav Nagy:
On Exact Computation of Tukey Depth Central Regions. 699-713 - Mohammad Ghasempour, Niloofar Moosavi, Xavier de Luna:
Convolutional Neural Networks for Valid and Efficient Causal Inference. 714-723 - Meijia Wang, Jingyu He, P. Richard Hahn:
Local Gaussian Process Extrapolation for BART Models with Applications to Causal Inference. 724-735 - Xi Yang, Jan Hannig, Katherine A. Hoadley, Iain Carmichael, J. S. Marron:
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations. 736-748
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