Journal of Computational and Graphical Statistics

Article	Citations
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	76
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	56
Analytic Permutation Testing for Functional Data ANOVA	44
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	40
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	31
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	30
Local Clustering for Functional Data	26
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	25
Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks	24
Joint Modeling of Longitudinal Imaging and Survival Data	24
Functional Nonlinear Learning	22
Biconvex Clustering	21
Dynamic Prediction Using Landmark Historical Functional Cox Regression	19
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	18
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	17
Fast Conservative Monte Carlo Confidence Sets	16
Graphical Influence Diagnostics for Changepoint Models	16
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	16
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	15
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	15
Tree-Enhanced Latent Space Models for Two-Mode Networks	14
Bayesian Computation in Dynamic Latent Factor Models	14
Functional Projection K -means	14
Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models	14
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models	13

Integrated Depths for Partially Observed Functional Data	13
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	13
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	13
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	13
Structured Shrinkage Priors	13
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	12
Implicit Copula Variational Inference	12
Backward Importance Sampling for Online Estimation of State Space Models	12
EM Algorithm for the Estimation of the RETAS Model	12
Functional Mixed Membership Models	12
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	11
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
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	10
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	10
On Data Augmentation for Models Involving Reciprocal Gamma Functions	10
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	9
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	9
Multi-label Random Subspace Ensemble Classification	9
Bayesian Nowcasting with Laplacian-P-Splines	9
Scalable Feature Matching Across Large Data Collections	8
On the Use of Minimum Penalties in Statistical Learning	8
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	8
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	8
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	8
Enforcing Stationarity through the Prior in Vector Autoregressions	8
Massive Parallelization of Massive Sample-Size Survival Analysis	8
On Inference for Modularity Statistics in Structured Networks	8
A Generalized Mean Approach for Distributed-PCA	8
Search Algorithms and Loss Functions for Bayesian Clustering	8
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	7
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	7
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	7
Wavelet Feature Screening	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	7
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	7
Correction	7
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	7
Can You See The Change? Change Point Detection Using Visual Inference	7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
Learning Subspaces of Different Dimensions	7
Meta Clustering for Collaborative Learning	7
DeepMoM: Robust Deep Learning With Median-of-Means	6
Dependent Modeling of Temporal Sequences of Random Partitions	6
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	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

Accelerated Structured Matrix Factorization	6
The Mean Shape under the Relative Curvature Condition	6
Supervised Manifold Learning for Functional Data	6
Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks	6
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model	6
Double-Matched Matrix Decomposition for Multi-View Data	6
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	6
Monotone Cubic B-Splines with a Neural-Network Generator	6
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	6
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	6
Approximations in the homogeneous Ising model with application to scene analysis	6
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	6
More Powerful Selective Inference for the Graph Fused Lasso	6
Bayesian Distance Weighted Discrimination	6
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models	5
Nonlinear Functional Modeling Using Neural Networks	5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	5
A Probit Tensor Factorization Model For Relational Learning	5
Deeply Learned Generalized Linear Models with Missing Data	5
Dependence Model Assessment and Selection with DecoupleNets	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo	5
Efficient Quantization Mean Estimation for Distributed Learning*	5
Deep Neural Network for Functional Graphical Models Structure Learning	5
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	5
On the Wasserstein Median of Probability Measures	5
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission	5
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	4
Big Data Model Building Using Dimension Reduction and Sample Selection	4
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	4
Data Integration with Oracle Use of External Information from Heterogeneous Populations	4
Eye Fitting Straight Lines in the Modern Era	4
Approximating Partial Likelihood Estimators via Optimal Subsampling	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
Community Detection with Heterogeneous Block Covariance Model	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	4
AddiVortes: (Bayesian) Additive Voronoi Tessellations	4
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	4
Hybrid Kronecker Product Decomposition and Approximation	4
Generative Quantile Regression with Variability Penalty	4
Triangular Concordance Learning of Networks	4
Correction	4
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
Heterogeneous Functional Regression for Subgroup Analysis	4
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	4
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	4
Approximate Bayesian Computation with Deep Learning and Conformal prediction	4
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	4
Eigenvectors from Eigenvalues Sparse Principal Component Analysis	4
On Construction and Estimation of Stationary Mixture Transition Distribution Models	4
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	4
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4
Co-Factor Analysis of Citation Networks	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
Principal Variables Analysis for Non-Gaussian Data	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
Eigen-Adjusted Functional Principal Component Analysis	3
Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Choice of Trimming Proportion and Number of Clusters in Robust Clustering based on Trimming	3
Bayesian Kernel Two-Sample Testing	3
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models	3
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models	3
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3

No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	3
Variable Selection and Basis Learning for Ordinal Classification	3
Varying Coefficient Model via Adaptive Spline Fitting	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
A Simple Algorithm for Exact Multinomial Tests	3
Copulas and Histogram-Valued Data	3
Online Kernel-Based Mode Learning	3
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm	3
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection	3
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function	3
Graded Matching for Large Observational Studies	3
Features of the Polynomial Biplot for Ordered Contingency Tables	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs	3
Bayesian Multilevel Network Recovery Selection	3
Boosting Prediction with Data Missing Not at Random	3
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	3
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	3
Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates	3
Penguins Go Parallel: A Grammar of Graphics Framework for Generalized Parallel Coordinate Plots	3
Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes	3
Predictive Subdata Selection for Computer Models	3
Improved Estimation of High-dimensional Additive Models Using Subspace Learning	3
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression	3
Mixtures of Matrix-Variate Contaminated Normal Distributions	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	3
Loss-Based Variational Bayes Prediction	3