J. Comput. Graph. Stat.

Keyphrases

Publications

volume 33, number 1, 2024

Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring. J. Comput. Graph. Stat. 33 (1) (2024)
Youhan Lu, Yushen Dong, Juan Hu, Yichao Wu
A Unified Approach to Variable Selection for Partially Linear Models. J. Comput. Graph. Stat. 33 (1) (2024)
Alessandro Colombi, Raffaele Argiento, Lucia Paci, Alessia Pini
Learning Block Structured Graphs in Gaussian Graphical Models. J. Comput. Graph. Stat. 33 (1) (2024)
Yudan Zou, Yiqi Lin, Xinyuan Song
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States. J. Comput. Graph. Stat. 33 (1) (2024)
Junge Li, Qing Mai
Model-Based Tensor Low-Rank Clustering. J. Comput. Graph. Stat. 33 (1) (2024)
Maryclare Griffin
Improved Pathwise Coordinate Descent for Power Penalties. J. Comput. Graph. Stat. 33 (1) (2024)
Haixu Wang, Jiguo Cao
Functional Nonlinear Learning. J. Comput. Graph. Stat. 33 (1) (2024)
Yannis G. Yatracos
EDI-Graphic: A Tool To Study Parameter Discrimination and Confirm Identifiability in Black-Box Models, and to Select Data-Generating Machines. J. Comput. Graph. Stat. 33 (1) (2024)
Hui Shen, Shankar Bhamidi, Yufeng Liu
Statistical Significance of Clustering with Multidimensional Scaling. J. Comput. Graph. Stat. 33 (1) (2024)
Chad Klumb, Martina Morris, Steven M. Goodreau, Samuel M. Jenness
Improving and Extending STERGM Approximations Based on Cross-Sectional Data and Tie Durations. J. Comput. Graph. Stat. 33 (1) (2024)
Guanxun Li, Quan Zhou
Bayesian Multi-Task Variable Selection with an Application to Differential DAG Analysis. J. Comput. Graph. Stat. 33 (1) (2024)
Jianxiao Yang, Martijn J. Schuemie, Xiang Ji, Marc A. Suchard
Massive Parallelization of Massive Sample-Size Survival Analysis. J. Comput. Graph. Stat. 33 (1) (2024)
Aleksei Sholokhov, James V. Burke, Damian F. Santomauro, Peng Zheng, Aleksandr Y. Aravkin
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models. J. Comput. Graph. Stat. 33 (1) (2024)
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. J. Comput. Graph. Stat. 33 (1) (2024)
Yongyun Shin, Stephen Raudenbush
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error. J. Comput. Graph. Stat. 33 (1) (2024)
Marco Riani, Anthony C. Atkinson, Aldo Corbellini
Robust Transformations for Multiple Regression via Additivity and Variance Stabilization. J. Comput. Graph. Stat. 33 (1) (2024)
Matthew T. Pratola, Edward I. George, Robert E. McCulloch
Influential Observations in Bayesian Regression Tree Models. J. Comput. Graph. Stat. 33 (1) (2024)
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. J. Comput. Graph. Stat. 33 (1) (2024)

volume 33, number 2, 2024