Journal of Computational and Graphical Statistics

Article	Citations
Generalized Tensor Decomposition With Features on Multiple Modes	53
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	39
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	39
Analytic Permutation Testing for Functional Data ANOVA	36
Joint Modeling of Longitudinal Imaging and Survival Data	35
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	35
Local Clustering for Functional Data	27
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	27
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	24
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	24
Functional Mixed Membership Models	20
Functional Nonlinear Learning	20
Implicit Copula Variational Inference	18
Integrated Depths for Partially Observed Functional Data	17
Functional Projection K -means	17
Structured Shrinkage Priors	16
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	16
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression	15
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	14
Bayesian Computation in Dynamic Latent Factor Models	13
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	13
Biconvex Clustering	13
Graphical Influence Diagnostics for Changepoint Models	13
Dynamic Prediction Using Landmark Historical Functional Cox Regression	13
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	12

Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	12
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	12
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models	12
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	12
Least-Square Approximation for a Distributed System	11
Fast Univariate Inference for Longitudinal Functional Models	11
Backward Importance Sampling for Online Estimation of State Space Models	11
EM Algorithm for the Estimation of the RETAS Model	11
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	11
Scalable Feature Matching Across Large Data Collections	11
On Data Augmentation for Models Involving Reciprocal Gamma Functions	10
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities	10
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	10
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	9
Bayesian Nowcasting with Laplacian-P-Splines	9
Optimal Integrating Learning for Split Questionnaire Design Type Data	9
Enforcing Stationarity through the Prior in Vector Autoregressions	9
Inference and Computation for Sparsely Sampled Random Surfaces	9
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	8
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	8
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	8
On Inference for Modularity Statistics in Structured Networks	8
Multi-label Random Subspace Ensemble Classification	8
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	8
Massive Parallelization of Massive Sample-Size Survival Analysis	8
Search Algorithms and Loss Functions for Bayesian Clustering	7
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model	7
On Exact Computation of Tukey Depth Central Regions	7
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	7
On the Use of Minimum Penalties in Statistical Learning	7
Wavelet Feature Screening	7
Learning Subspaces of Different Dimensions	7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC	7
Correction	6
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Meta Clustering for Collaborative Learning	6
A Projection Approach to Local Regression with Variable-Dimension Covariates	6
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	6
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	6
Double-Matched Matrix Decomposition for Multi-View Data	5
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	5
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	5
Bayesian Distance Weighted Discrimination	5
DeepMoM: Robust Deep Learning With Median-of-Means	5
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	5
Dependent Modeling of Temporal Sequences of Random Partitions	5
On the Wasserstein Median of Probability Measures	5
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	5
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo	5

More Powerful Selective Inference for the Graph Fused Lasso	5
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	5
Can You See The Change? Visual Perception in Change Point Analysis	5
A Generalized Quantile Tree Method for Subgroup Identification	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	5
Monotone Cubic B-Splines with a Neural-Network Generator	5
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	5
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	5
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	5
Accelerated Structured Matrix Factorization	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Nonlinear Functional Modeling Using Neural Networks	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	5
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	4
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models	4
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission	4
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	4
Heterogeneous Functional Regression for Subgroup Analysis	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	4
A Probit Tensor Factorization Model For Relational Learning	4
A Fast Solution to the Lasso Problem with Equality Constraints	4
Dependence Model Assessment and Selection with DecoupleNets	4
Big Data Model Building Using Dimension Reduction and Sample Selection	4
Hybrid Kronecker Product Decomposition and Approximation	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Deeply Learned Generalized Linear Models with Missing Data	4
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	4
AddiVortes: (Bayesian) Additive Voronoi Tessellations	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	4
On Construction and Estimation of Stationary Mixture Transition Distribution Models	4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	3
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	3
Principal Variables Analysis for Non-Gaussian Data	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Generative Quantile Regression with Variability Penalty	3
Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models	3
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	3
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
Bayesian Kernel Two-Sample Testing	3
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	3
A Simple Algorithm for Exact Multinomial Tests	3
Data Integration with Oracle Use of External Information from Heterogeneous Populations	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
Eye Fitting Straight Lines in the Modern Era	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
Asynchronous and Distributed Data Augmentation for Massive Data Settings	3
Co-Factor Analysis of Citation Networks	3
Triangular Concordance Learning of Networks	3
Eigen-Adjusted Functional Principal Component Analysis	3
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	3
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach	3
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression	3
Features of the Polynomial Biplot for Ordered Contingency Tables	3
Varying Coefficient Model via Adaptive Spline Fitting	3
A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules	3
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Matrix Autoregressive Spatio-Temporal Models	3
Variable Selection and Basis Learning for Ordinal Classification	3
Copulas and Histogram-Valued Data	3
Efficient Modeling of Spatial Extremes over Large Geographical Domains	3
Nonstationary Spatial Modeling of Massive Global Satellite Data	3
Eigenvectors from Eigenvalues Sparse Principal Component Analysis	3
Communication-Efficient Nonparametric Quantile Regression via Random Features	3
Loss-Based Variational Bayes Prediction	3
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data	3
Online Kernel-Based Mode Learning	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
Approximating Partial Likelihood Estimators via Optimal Subsampling	3

Mixtures of Matrix-Variate Contaminated Normal Distributions

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