Journal of Computational and Graphical Statistics

Article	Citations
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	83
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	59
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	45
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	41
Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks	31
Local Clustering for Functional Data	31
Optimizing Two-Arm Clinical Trials for Personalized Medicine using Integer Programming and Heuristic Algorithms	27
Functional Nonlinear Learning	26
Joint Modeling of Longitudinal Imaging and Survival Data	26
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	24
Analytic Permutation Testing for Functional Data ANOVA	23
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	21
Biconvex Clustering	18
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	17
Dynamic Prediction Using Landmark Historical Functional Cox Regression	17
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	16
Functional Mixed Membership Models	15
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	15
Fast Conservative Monte Carlo Confidence Sets	15
Graphical Influence Diagnostics for Changepoint Models	14
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	14
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	14
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	14
Bayesian Computation in Dynamic Latent Factor Models	13
Tree-Enhanced Latent Space Models for Two-Mode Networks	13

Integrated Depths for Partially Observed Functional Data	13
Functional Projection K -means	13
Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models	13
Implicit Copula Variational Inference	12
Structured Shrinkage Priors	12
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	12
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	12
Backward Importance Sampling for Online Estimation of State Space Models	12
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	12
Inference and Computation for Sparsely Sampled Random Surfaces	11
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	11
Optimal Integrating Learning for Split Questionnaire Design Type Data	10
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	10
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	10
Scalable Feature Matching Across Large Data Collections	10
Enforcing Stationarity through the Prior in Vector Autoregressions	10
EM Algorithm for the Estimation of the RETAS Model	10
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	9
Multi-label Random Subspace Ensemble Classification	9
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	9
Massive Parallelization of Massive Sample-Size Survival Analysis	8
A Generalized Mean Approach for Distributed-PCA	8
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	8
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	8
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	8
On the Use of Minimum Penalties in Statistical Learning	8
Search Algorithms and Loss Functions for Bayesian Clustering	8
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	8
On Inference for Modularity Statistics in Structured Networks	8
On Data Augmentation for Models Involving Reciprocal Gamma Functions	8
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	8
Bayesian Nowcasting with Laplacian-P-Splines	8
Wavelet Feature Screening	7
Approximations in the homogeneous Ising model with application to scene analysis	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	7
Correction	7
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	7
Learning Subspaces of Different Dimensions	7
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	6
Meta Clustering for Collaborative Learning	6
More Powerful Selective Inference for the Graph Fused Lasso	6
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	6
Bayesian Distance Weighted Discrimination	6
Nonlinear Functional Modeling Using Neural Networks	6
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	6
Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks	6
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
On Exact Computation of Tukey Depth Central Regions	6

Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	6
A Generalized Quantile Tree Method for Subgroup Identification	6
Supervised Manifold Learning for Functional Data	6
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	6
Can You See The Change? Change Point Detection Using Visual Inference	6
Double-Matched Matrix Decomposition for Multi-View Data	6
A Unified Framework for Community Detection and Model Selection in Blockmodels	6
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	6
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	5
Deeply Learned Generalized Linear Models with Missing Data	5
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission	5
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	5
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	5
Deep Neural Network for Functional Graphical Models Structure Learning	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
Accelerated Structured Matrix Factorization	5
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models	5
On the Wasserstein Median of Probability Measures	5
A Probit Tensor Factorization Model For Relational Learning	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
Approximate Bayesian Computation with Deep Learning and Conformal prediction	5
Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model	5
The Mean Shape under the Relative Curvature Condition	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
AddiVortes: (Bayesian) Additive Voronoi Tessellations	5
Dependence Model Assessment and Selection with DecoupleNets	5
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
Monotone Cubic B-Splines with a Neural-Network Generator	5
Efficient Quantization Mean Estimation for Distributed Learning*	5
Heterogeneous Functional Regression for Subgroup Analysis	4
Principal Variables Analysis for Non-Gaussian Data	4
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	4
Hybrid Kronecker Product Decomposition and Approximation	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
Approximating Partial Likelihood Estimators via Optimal Subsampling	4
Triangular Concordance Learning of Networks	4
Varying Coefficient Model via Adaptive Spline Fitting	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Big Data Model Building Using Dimension Reduction and Sample Selection	4
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	4
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	4
Generative Quantile Regression with Variability Penalty	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	4
Community Detection with Heterogeneous Block Covariance Model	4
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	4
Co-Factor Analysis of Citation Networks	4
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	3
Nonstationary Spatial Modeling of Massive Global Satellite Data	3
Variable Selection and Basis Learning for Ordinal Classification	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
Nonparametric Assessment of Variable Selection and Ranking Algorithms	3
Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes	3
Predictive Subdata Selection for Computer Models	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Improved Estimation of High-dimensional Additive Models Using Subspace Learning	3
A Simple Algorithm for Exact Multinomial Tests	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
Boosting Prediction with Data Missing Not at Random	3
Eye Fitting Straight Lines in the Modern Era	3
Eigen-Adjusted Functional Principal Component Analysis	3
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	3
Loss-Based Variational Bayes Prediction	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
Adaptive Shrinkage with a Nonparametric Bayesian Lasso	3
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models	3

Ultra-Fast Approximate Inference Using Variational Functional Mixed Models	3
Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	3
Online Kernel-Based Mode Learning	3
Bayesian Kernel Two-Sample Testing	3
Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates	3
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs	3
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection	3
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	3
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	3
Correction	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
Copulas and Histogram-Valued Data	3
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm	3
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function	3
Graded Matching for Large Observational Studies	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
Choice of Trimming Proportion and Number of Clusters in Robust Clustering based on Trimming	3
Mixtures of Matrix-Variate Contaminated Normal Distributions	3
Bayesian Multilevel Network Recovery Selection	3
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data	3
Data Integration with Oracle Use of External Information from Heterogeneous Populations	3