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Design Principles for Data Analysis. J. Comput. Graph. Stat. 32(2): 754-761 (2023) - Amanda F. Mejia, David Bolin, Yu Ryan Yue, Jiongran Wang, Brian S. Caffo, Mary Beth Nebel:
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. J. Comput. Graph. Stat. 32(2): 413-433 (2023) - Marianne Menictas, Gioia Di Credico, Matt P. Wand:
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects. J. Comput. Graph. Stat. 32(1): 99-115 (2023) - Philipp Otto, Rick Steinert:
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks. J. Comput. Graph. Stat. 32(2): 696-711 (2023) - Tullia Padellini, Pierpaolo Brutti:
Persistence Flamelets: Topological Invariants for Scale Spaces. J. Comput. Graph. Stat. 32(2): 671-683 (2023) - Francesco Sanna Passino, Nicholas A. Heard:
Mutually Exciting Point Process Graphs for Modeling Dynamic Networks. J. Comput. Graph. Stat. 32(1): 116-130 (2023) - Charles A. Pehlivanian, Daniel B. Neill:
Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions Property. J. Comput. Graph. Stat. 32(2): 712-729 (2023) - Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza, Hernando C. Ombao:
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. J. Comput. Graph. Stat. 32(2): 483-500 (2023) - Eugen Pircalabelu, Gerda Claeskens:
Linear Manifold Modeling and Graph Estimation based on Multivariate Functional Data with Different Coarseness Scales. J. Comput. Graph. Stat. 32(2): 378-387 (2023) - Johannes Resin:
A Simple Algorithm for Exact Multinomial Tests. J. Comput. Graph. Stat. 32(2): 539-550 (2023) - Vivekananda Roy, Lijin Zhang:
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs. J. Comput. Graph. Stat. 32(2): 501-512 (2023) - Michael C. Sachs, Gustav Jonzon, Arvid Sjölander, Erin E. Gabriel:
A General Method for Deriving Tight Symbolic Bounds on Causal Effects. J. Comput. Graph. Stat. 32(2): 567-576 (2023) - Daniel Schalk, Bernd Bischl, David Rügamer:
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization. J. Comput. Graph. Stat. 32(2): 631-641 (2023) - Chris Sherlock, Andrew Golightly:
Exact Bayesian Inference for Discretely Observed Markov Jump Processes Using Finite Rate Matrices. J. Comput. Graph. Stat. 32(1): 36-48 (2023) - Matthys Lucas Steyn, Tertius de Wet, Bernard De Baets, Stijn Luca:
A Nearest Neighbor Open-Set Classifier based on Excesses of Distance Ratios. J. Comput. Graph. Stat. 32(1): 319-328 (2023) - Alex Stringer, Patrick Brown, Jamie Stafford:
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models. J. Comput. Graph. Stat. 32(1): 84-98 (2023) - Mohsen Taheri, Jörn Schulz:
Statistical Analysis of Locally Parameterized Shapes. J. Comput. Graph. Stat. 32(2): 658-670 (2023) - Barinder Thind, Kevin Multani, Jiguo Cao:
Deep Learning With Functional Inputs. J. Comput. Graph. Stat. 32(1): 171-180 (2023) - Anastasia Ushakova, Simon A. Taylor, Rebecca Killick:
Micro-Macro Changepoint Inference for Periodic Data Sequences. J. Comput. Graph. Stat. 32(2): 684-695 (2023) - Zhenyu Wei, Thomas C. M. Lee:
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference. J. Comput. Graph. Stat. 32(1): 226-240 (2023) - Weng Kee Wong, Julie Zhou:
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives. J. Comput. Graph. Stat. 32(2): 744-753 (2023) - Correction. J. Comput. Graph. Stat. 32(1): i (2023)
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Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach. J. Comput. Graph. Stat. 32(1): 49-60 (2023) - Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi:
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. J. Comput. Graph. Stat. 32(2): 588-600 (2023) - Ruoshui Zhai, Roee Gutman:
A Bayesian Singular Value Decomposition Procedure for Missing Data Imputation. J. Comput. Graph. Stat. 32(2): 470-482 (2023) - Jingyi Zhang, Cheng Meng, Jun Yu, Mengrui Zhang, Wenxuan Zhong, Ping Ma:
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation. J. Comput. Graph. Stat. 32(1): 329-339 (2023) - Jingfei Zhang, Will Wei Sun, Lexin Li:
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies. J. Comput. Graph. Stat. 32(1): 252-262 (2023)