Journal of Computational and Graphical Statistics

Article	Citations
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	88
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	63
Joint Modeling of Longitudinal Imaging and Survival Data	45
Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks	41
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	33
Analytic Permutation Testing for Functional Data ANOVA	31
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	29
Local Clustering for Functional Data	27
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	27
Optimizing Two-Arm Clinical Trials for Personalized Medicine using Integer Programming and Heuristic Algorithms	25
Functional Nonlinear Learning	24
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	21
Dynamic Prediction Using Landmark Historical Functional Cox Regression	18
Biconvex Clustering	18
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	17
Fast Conservative Monte Carlo Confidence Sets	16
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	16
Graphical Influence Diagnostics for Changepoint Models	16
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	16
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	15
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	15
Tree-Enhanced Latent Space Models for Two-Mode Networks	15
Functional Projection K -means	15
Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models	14
Bayesian Computation in Dynamic Latent Factor Models	13

Functional Mixed Membership Models	13
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	13
Integrated Depths for Partially Observed Functional Data	13
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	13
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	13
Structured Shrinkage Priors	13
Renewable l1-regularized linear support vector machine with high-dimensional streaming data	13
Backward Importance Sampling for Online Estimation of State Space Models	12
Implicit Copula Variational Inference	12
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	11
Inference and Computation for Sparsely Sampled Random Surfaces	11
EM Algorithm for the Estimation of the RETAS Model	11
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	11
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	11
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	10
A Generalized Mean Approach for Distributed-PCA	10
Fast Bayesian Functional Principal Components Analysis	10
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	9
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
On the Use of Minimum Penalties in Statistical Learning	8
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	8
Optimal Integrating Learning for Split Questionnaire Design Type Data	8
On Inference for Modularity Statistics in Structured Networks	8
Massive Parallelization of Massive Sample-Size Survival Analysis	8
EMbru: A Quick and Accurate Bayesian Inference Method for Hawkes Point Process Modeling	8
On Data Augmentation for Models Involving Reciprocal Gamma Functions	8
Scalable Feature Matching Across Large Data Collections	8
Enforcing Stationarity through the Prior in Vector Autoregressions	8
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	8
Search Algorithms and Loss Functions for Bayesian Clustering	8
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	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
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	7
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
Wavelet Feature Screening	7
Meta Clustering for Collaborative Learning	7
Bayesian Nowcasting with Laplacian-P-Splines	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	7
Correction	7
Supervised Manifold Learning for Functional Data	7
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Can You See The Change? Change Point Detection Using Visual Inference	6
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	6
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	6
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	6
On Exact Computation of Tukey Depth Central Regions	6
More Powerful Selective Inference for the Graph Fused Lasso	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
Bayesian Distance Weighted Discrimination	6
A Unified Framework for Community Detection and Model Selection in Blockmodels	6
A Generalized Quantile Tree Method for Subgroup Identification	6
Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks	6
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	6
Approximations in the Homogeneous Ising Model with Application to Scene Analysis	6
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	6
Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model	6
Monotone Cubic B-Splines with a Neural-Network Generator	6
Deep Neural Network for Functional Graphical Models Structure Learning	5
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models	5
Accelerated Structured Matrix Factorization	5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	5
Dependence Model Assessment and Selection with DecoupleNets	5
A Probit Tensor Factorization Model For Relational Learning	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
Approximate Bayesian Computation with Deep Learning and Conformal prediction	5
Efficient Quantization Mean Estimation for Distributed Learning*	5
Nonlinear Functional Modeling Using Neural Networks	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Online Spectral Density Estimation	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
AddiVortes: (Bayesian) Additive Voronoi Tessellations	5
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	5
Double-Matched Matrix Decomposition for Multi-View Data	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
The Mean Shape under the Relative Curvature Condition	5
DeepMoM: Robust Deep Learning With Median-of-Means	5
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	5
Deeply Learned Generalized Linear Models with Missing Data	5
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission	5
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	5
Communication-Efficient Nonparametric Quantile Regression via Random Features	4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	4
Principal Variables Analysis for Non-Gaussian Data	4
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	4
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	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
Varying Coefficient Model via Adaptive Spline Fitting	4
Co-Factor Analysis of Citation Networks	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
Triangular Concordance Learning of Networks	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
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
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	4
Hybrid Kronecker Product Decomposition and Approximation	4
Data Integration with Oracle Use of External Information from Heterogeneous Populations	4
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
Heterogeneous Functional Regression for Subgroup Analysis	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	4
On the Wasserstein Median of Probability Measures	4
Community Detection with Heterogeneous Block Covariance Model	4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
Correction	4
Generative Quantile Regression with Variability Penalty	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
A Simple Algorithm for Exact Multinomial Tests	3
Variable Selection and Basis Learning for Ordinal Classification	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	3
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	3
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Choice of Trimming Proportion and Number of Clusters in Robust Clustering based on Trimming	3
Modeling Longitudinal Data Using Matrix Completion	3
Optimization for Calibration of Survey Weights under a Large Number of Conflicting Constraints	3
Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes	3
Nonparametric Assessment of Variable Selection and Ranking Algorithms	3
Online Kernel-Based Mode Learning	3
Bayesian Kernel Two-Sample Testing	3
Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model	3

Predictive Subdata Selection for Computer Models	3
Boosting Prediction with Data Missing Not at Random	3
Eigen-Adjusted Functional Principal Component Analysis	3
Approximating Partial Likelihood Estimators via Optimal Subsampling	3
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	3
Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	3
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs	3
Adaptive Shrinkage with a Nonparametric Bayesian Lasso	3
Graded Matching for Large Observational Studies	3
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models	3
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
Mixtures of Matrix-Variate Contaminated Normal Distributions	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
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	3
Loss-Based Variational Bayes Prediction	3
Eye Fitting Straight Lines in the Modern Era	3
Bayesian Multilevel Network Recovery Selection	3
Copulas and Histogram-Valued Data	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
Penguins Go Parallel: A Grammar of Graphics Framework for Generalized Parallel Coordinate Plots	3
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm	3
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function	3
Improved Estimation of High-dimensional Additive Models Using Subspace Learning	3
Bayesian Estimation of Clustered Dependence Structures in Functional Neuroconnectivity	2
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives	2
A Simple Divide-and-Conquer-based Distributed Method for the Accelerated Failure Time Model	2
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models	2
Metaheuristic Solutions to Order-of-Addition Design Problems	2
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model	2
Persistence Flamelets: Topological Invariants for Scale Spaces	2
Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting	2
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference	2
A mirror descent approach to maximum likelihood estimation in latent variable models	2
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States	2
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions	2
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods	2
Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations	2
Efficient Sampling From the Watson Distribution in Arbitrary Dimensions	2
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo	2
When Tukey Meets Chauvenet: A New Boxplot Criterion for Outlier Detection	2
Fast and robust invariant generalized linear models	2
Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks	2
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error	2
Parameter Estimation of Binned Hawkes Processes	2
Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models	2
Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners	2
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data	2
Doubly Adaptive Importance Sampling	2
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference	2
A Bootstrap-based Method for Testing Similarity of Matched Networks	2
ACRONYM: Augmented Degree Corrected, Community Reticulated Organized Network Yielding Model	2
Powerful Significance Testing for Unbalanced Clusters	2
Differentially Private Methods for Compositional Data	2
Estimation and Model Selection for Nonparametric Function-on-Function Regression	2
A Scalable Method to Exploit Screening in Gaussian Process Models with Noise	2
Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks	2
Functional Time Series Analysis and Visualization Based on Records	2
Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series	2
Bayesian L 1/2 Regression	2
Generative Neural Networks for Characteristic Functions	2
A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion	2
Exactly Uncorrelated Sparse Principal Component Analysis	2
Augmentation Samplers for Multinomial Probit Bayesian Additive Regression Trees	2
Correction	2
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes	2
Heckman selection-contaminated normal model	2
Sampling Random Graphs with Specified Degree Sequences	2
Supervised Stratified Subsampling for Predictive Analytics	2
Smoothing Splines Approximation Using Hilbert Curve Basis Selection	2
Correspondence Analysis on Sparse Bipartite Graphs with Hyperspecialization	2
Copula Graphical Models for Heterogeneous Mixed Data	2
A General Purpose Approximation to the Ferguson-Klass Algorithm for Sampling from Lévy Processes Without Gaussian Components	2
A Distribution-Free Method for Change Point Detection in Non-Sparse High Dimensional Data	2
Multi-Task Learning for Gaussian Graphical Regressions with High Dimensional Covariates	2
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning	2
An Interpretable Neural Network-based Nonproportional Odds Model for Ordinal Regression	2
Log-Rank-Type Tests for Equality of Distributions in High-Dimensional Spaces	2
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models	2
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach	2
Perception and Cognitive Implications of Logarithmic Scales for Exponentially Increasing Data: Perceptual Sensitivity Tested with Statistical Lineups	2
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty	2
Vector Copula Variational Inference and Dependent Block Posterior Approximations	2
A Latent Space Model for Weighted Keyword Co-Occurrence Networks with Applications in Knowledge Discovery in Statistics	1
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems	1
Two Transfer Learning Approaches for Regression Analysis of High-dimensional Interval-censored Failure Time Data	1
fastkqr: A Fast Algorithm for Kernel Quantile Regression	1
Variable Screening for Sparse Online Regression	1
Kernelized Discriminant Analysis for Joint Modeling of Multivariate Categorical Responses	1
Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties	1
Biplots for the Correlation Matrix	1
A Unified Approach to Variable Selection for Partially Linear Models	1