Journal of Computational and Graphical Statistics

Article	Citations
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	62
Analytic Permutation Testing for Functional Data ANOVA	51
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	41
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	38
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	30
Functional Nonlinear Learning	29
Joint Modeling of Longitudinal Imaging and Survival Data	28
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	24
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	23
Generalized Tensor Decomposition With Features on Multiple Modes	21
Local Clustering for Functional Data	20
Functional Mixed Membership Models	19
Implicit Copula Variational Inference	16
Functional Projection K -means	16
Integrated Depths for Partially Observed Functional Data	15
Structured Shrinkage Priors	15
Tree-Enhanced Latent Space Models for Two-Mode Networks	14
Non-conjugate variational Bayes for pseudo-likelihood mixed effect models	14
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	14
Graphical Influence Diagnostics for Changepoint Models	14
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	13
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	13
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	12
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	12
Biconvex Clustering	12

High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	12
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models	12
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	12
Dynamic Prediction Using Landmark Historical Functional Cox Regression	12
Optimal Integrating Learning for Split Questionnaire Design Type Data	11
Bayesian Computation in Dynamic Latent Factor Models	11
On Data Augmentation for Models Involving Reciprocal Gamma Functions	11
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	11
Backward Importance Sampling for Online Estimation of State Space Models	11
Multi-label Random Subspace Ensemble Classification	10
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	10
Massive Parallelization of Massive Sample-Size Survival Analysis	10
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	10
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	9
On Inference for Modularity Statistics in Structured Networks	9
Inference and Computation for Sparsely Sampled Random Surfaces	9
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	9
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	9
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	8
Enforcing Stationarity through the Prior in Vector Autoregressions	8
Fast Univariate Inference for Longitudinal Functional Models	8
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	8
EM Algorithm for the Estimation of the RETAS Model	8
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	8
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	8
Bayesian Nowcasting with Laplacian-P-Splines	8
On the Use of Minimum Penalties in Statistical Learning	8
Scalable Feature Matching Across Large Data Collections	8
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	7
Correction	7
Wavelet Feature Screening	7
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	7
Search Algorithms and Loss Functions for Bayesian Clustering	7
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	7
Double-Matched Matrix Decomposition for Multi-View Data	6
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo	6
Bayesian Distance Weighted Discrimination	6
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	6
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model	6
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	6
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	6
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	6
Meta Clustering for Collaborative Learning	6
Learning Subspaces of Different Dimensions	6
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	6
On Exact Computation of Tukey Depth Central Regions	6
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	6

More Powerful Selective Inference for the Graph Fused Lasso	6
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	6
Can You See The Change? Change Point Detection Using Visual Inference	6
Monotone Cubic B-Splines with a Neural-Network Generator	5
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	5
DeepMoM: Robust Deep Learning With Median-of-Means	5
Dependent Modeling of Temporal Sequences of Random Partitions	5
A Probit Tensor Factorization Model For Relational Learning	5
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	5
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	5
Accelerated Structured Matrix Factorization	5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	5
The Mean Shape under the Relative Curvature Condition	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
On the Wasserstein Median of Probability Measures	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
A Generalized Quantile Tree Method for Subgroup Identification	5
Nonlinear Functional Modeling Using Neural Networks	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
Dependence Model Assessment and Selection with DecoupleNets	5
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Principal Variables Analysis for Non-Gaussian Data	4
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	4
Deeply Learned Generalized Linear Models with Missing Data	4
Community Detection with Heterogeneous Block Covariance Model	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	4
Co-Factor Analysis of Citation Networks	4
Approximating Partial Likelihood Estimators via Optimal Subsampling	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
Hybrid Kronecker Product Decomposition and Approximation	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	4
AddiVortes: (Bayesian) Additive Voronoi Tessellations	4
Heterogeneous Functional Regression for Subgroup Analysis	4
Eigenvectors from Eigenvalues Sparse Principal Component Analysis	4
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	4
Triangular Concordance Learning of Networks	4
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Varying Coefficient Model via Adaptive Spline Fitting	4
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	4
On Construction and Estimation of Stationary Mixture Transition Distribution Models	4
Big Data Model Building Using Dimension Reduction and Sample Selection	4
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission	4
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
Eye Fitting Straight Lines in the Modern Era	4
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
Loss-Based Variational Bayes Prediction	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
Data Integration with Oracle Use of External Information from Heterogeneous Populations	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
Sampling Random Graphs with Specified Degree Sequences	3
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function	3
Features of the Polynomial Biplot for Ordered Contingency Tables	3
A Simple Algorithm for Exact Multinomial Tests	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Bayesian Kernel Two-Sample Testing	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
Variable Selection and Basis Learning for Ordinal Classification	3
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	3
Online Kernel-Based Mode Learning	3
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data	3
Modeling Longitudinal Data Using Matrix Completion	3
Predictive Subdata Selection for Computer Models	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
Mixtures of Matrix-Variate Contaminated Normal Distributions	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	3

Copulas and Histogram-Valued Data	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	3
Generative Quantile Regression with Variability Penalty	3
Eigen-Adjusted Functional Principal Component Analysis	3
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines	3
Improved Estimation of High-dimensional Additive Models Using Subspace Learning	3
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data	3
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression	3
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach	3