Journal of Computational and Graphical Statistics

Article	Citations
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	70
Analytic Permutation Testing for Functional Data ANOVA	55
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	43
Local Clustering for Functional Data	40
Simultaneous estimation of connectivity and dimensionality in samples of networks	31
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	29
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	26
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	24
Joint Modeling of Longitudinal Imaging and Survival Data	23
Functional Nonlinear Learning	22
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	21
Generalized Tensor Decomposition With Features on Multiple Modes	20
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models	16
Implicit Copula Variational Inference	16
Fast Conservative Monte Carlo Confidence Sets	16
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	16
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	15
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	14
Structured Shrinkage Priors	14
Graphical Influence Diagnostics for Changepoint Models	14
Bayesian Computation in Dynamic Latent Factor Models	14
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	14
Tree-Enhanced Latent Space Models for Two-Mode Networks	13
Integrated Depths for Partially Observed Functional Data	13
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	13

Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models	13
Functional Projection K -means	13
On the Use of Minimum Penalties in Statistical Learning	12
Dynamic Prediction Using Landmark Historical Functional Cox Regression	12
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	12
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	12
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	12
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	12
Functional Mixed Membership Models	12
Biconvex Clustering	12
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	11
Enforcing Stationarity through the Prior in Vector Autoregressions	11
Inference and Computation for Sparsely Sampled Random Surfaces	11
Backward Importance Sampling for Online Estimation of State Space Models	10
Optimal Integrating Learning for Split Questionnaire Design Type Data	10
Massive Parallelization of Massive Sample-Size Survival Analysis	10
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	10
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	10
On Inference for Modularity Statistics in Structured Networks	9
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	9
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	8
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	8
Search Algorithms and Loss Functions for Bayesian Clustering	8
EM Algorithm for the Estimation of the RETAS Model	8
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	8
Multi-label Random Subspace Ensemble Classification	8
Bayesian Nowcasting with Laplacian-P-Splines	8
On Data Augmentation for Models Involving Reciprocal Gamma Functions	8
Scalable Feature Matching Across Large Data Collections	8
A Generalized Mean Approach for Distributed-PCA	8
Correction	7
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	7
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
On Exact Computation of Tukey Depth Central Regions	7
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model	7
Wavelet Feature Screening	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	7
Approximations in the homogeneous Ising model with application to scene analysis	7
Meta Clustering for Collaborative Learning	6
DeepMoM: Robust Deep Learning With Median-of-Means	6
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	6
Bayesian Distance Weighted Discrimination	6
Can You See The Change? Change Point Detection Using Visual Inference	6
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	6
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Double-Matched Matrix Decomposition for Multi-View Data	6
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	6
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	6

Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	6
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	6
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	6
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo	6
Deep Neural Network for Functional Graphical Models Structure Learning	6
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	6
Learning Subspaces of Different Dimensions	6
More Powerful Selective Inference for the Graph Fused Lasso	6
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	6
The Mean Shape under the Relative Curvature Condition	5
A Generalized Quantile Tree Method for Subgroup Identification	5
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	5
A Probit Tensor Factorization Model For Relational Learning	5
Deeply Learned Generalized Linear Models with Missing Data	5
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	5
AddiVortes: (Bayesian) Additive Voronoi Tessellations	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Dependent Modeling of Temporal Sequences of Random Partitions	5
Dependence Model Assessment and Selection with DecoupleNets	5
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	5
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission	5
Approximate Bayesian Computation with Deep Learning and Conformal prediction	5
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	5
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models	5
Nonlinear Functional Modeling Using Neural Networks	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
Monotone Cubic B-Splines with a Neural-Network Generator	5
Accelerated Structured Matrix Factorization	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	5
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
Hybrid Kronecker Product Decomposition and Approximation	4
Community Detection with Heterogeneous Block Covariance Model	4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	4
Big Data Model Building Using Dimension Reduction and Sample Selection	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
Co-Factor Analysis of Citation Networks	4
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	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
Heterogeneous Functional Regression for Subgroup Analysis	4
On the Wasserstein Median of Probability Measures	4
Eigenvectors from Eigenvalues Sparse Principal Component Analysis	4
On Construction and Estimation of Stationary Mixture Transition Distribution Models	4
Triangular Concordance Learning of Networks	4
Varying Coefficient Model via Adaptive Spline Fitting	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	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
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
Principal Variables Analysis for Non-Gaussian Data	4
Generative Quantile Regression with Variability Penalty	4
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	4
Eye Fitting Straight Lines in the Modern Era	4
A Simple Algorithm for Exact Multinomial Tests	3
Loss-Based Variational Bayes Prediction	3
Bayesian Kernel Two-Sample Testing	3
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection	3
Approximating Partial Likelihood Estimators via Optimal Subsampling	3
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	3
Influential observations detection by random projection in high-dimensional multivariate response linear model	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function	3
Mixtures of Matrix-Variate Contaminated Normal Distributions	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
Boosting Prediction with Data Missing Not at Random	3
Features of the Polynomial Biplot for Ordered Contingency Tables	3
Variable Selection and Basis Learning for Ordinal Classification	3

A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	3
Bayesian Multilevel Network Recovery Selection	3
Data Integration with Oracle Use of External Information from Heterogeneous Populations	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data	3
Predictive Subdata Selection for Computer Models	3
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs	3
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Online Kernel-Based Mode Learning	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates	3
Eigen-Adjusted Functional Principal Component Analysis	3
Choice of trimming proportion and number of clusters in robust clustering based on trimming	3
Copulas and Histogram-Valued Data	3
Improved Estimation of High-dimensional Additive Models Using Subspace Learning	3
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data	3
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach	3
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes	2
Simultaneous Coefficient Clustering and Sparsity for Multivariate Mixed Models	2
Correspondence analysis on sparse bipartite graphs with hyperspecialization	2
Random Forest Adjustment for Approximate Bayesian Computation	2
Modeling Longitudinal Data Using Matrix Completion	2
Persistence Flamelets: Topological Invariants for Scale Spaces	2
A Simple Divide-and-Conquer-based Distributed Method for the Accelerated Failure Time Model	2
Efficient Sampling From the Watson Distribution in Arbitrary Dimensions	2
Optimization for Calibration of Survey Weights under a Large Number of Conflicting Constraints	2
Supervised Stratified Subsampling for Predictive Analytics	2
Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes	2
A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion	2
Exactly Uncorrelated Sparse Principal Component Analysis	2
Powerful Significance Testing for Unbalanced Clusters	2
Functional Time Series Analysis and Visualization Based on Records	2
Multi-Task Learning for Gaussian Graphical Regressions with High Dimensional Covariates	2
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference	2
Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models	2
Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks	2
Generative Neural Networks for Characteristic Functions	2
Multiple Imputation Through XGBoost	2
Rapid Bayesian Inference for Expensive Stochastic Models	2
Copula Graphical Models for Heterogeneous Mixed Data	2
Log-Rank-Type Tests for Equality of Distributions in High-Dimensional Spaces	2
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines	2
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models	2
Nonparametric Assessment of Variable Selection and Ranking Algorithms	2
Parameter Estimation of Binned Hawkes Processes	2
Sampling Random Graphs with Specified Degree Sequences	2
Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series	2
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models	2
A Bootstrap-based Method for Testing Similarity of Matched Networks	2
Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners	2
When Tukey Meets Chauvenet: A New Boxplot Criterion for Outlier Detection	2
Perception and Cognitive Implications of Logarithmic Scales for Exponentially Increasing Data: Perceptual Sensitivity Tested with Statistical Lineups	2
Bayesian Estimation of Clustered Dependence Structures in Functional Neuroconnectivity	2
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo	2
Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks	2
ACRONYM: Augmented degree corrected, Community Reticulated Organized Network Yielding Model	2
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error	2
An Interpretable Neural Network-based Nonproportional Odds Model for Ordinal Regression	2
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods	2
A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data	2
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm	2
Bootstrap Confidence Regions for Learned Feature Embeddings	2
Doubly Adaptive Importance Sampling	2
Bayesian L 1/2 Regression	2
Penguins Go Parallel: A Grammar of Graphics Framework for Generalized Parallel Coordinate Plots	2
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models	2
Metaheuristic Solutions to Order-of-Addition Design Problems	2
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives	2
Graded Matching for Large Observational Studies	2
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference	2
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models	2
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty	2
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning	2
Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting	2
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model	2
Estimation and Model Selection for Nonparametric Function-on-Function Regression	2
A Distribution-Free Method for Change Point Detection in Non-Sparse High Dimensional Data	2
Augmentation Samplers for Multinomial Probit Bayesian Additive Regression Trees	2
A Scalable Method to Exploit Screening in Gaussian Process Models with Noise	2
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States	2
Differentially Private Methods for Compositional Data	2
Smoothing Splines Approximation Using Hilbert Curve Basis Selection	2
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions	2
Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming	1
Biplots for the Correlation Matrix	1
Spatial Adaptive Selection using Binary Conditional Autoregressive Model with Application to Brain-Computer Interface	1
Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties	1
Computational Methods for Fast Bayesian Model Assessment via Calibrated Posterior p -values	1
Zig-Zag Sampling for Discrete Structures and Nonreversible Phylogenetic MCMC	1
Kernelized Discriminant Analysis for Joint Modeling of Multivariate Categorical Responses	1
Visualization for Interval Data	1
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems	1
Stochastic Block Smooth Graphon Model	1