Journal of Computational and Graphical Statistics

Article	Citations
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	49
Local Clustering for Functional Data	39
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	36
Optimizing Two-Arm Clinical Trials for Personalized Medicine Using Integer Programming and Heuristic Algorithms	34
Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks	27
Correction	23
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	21
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	20
Joint Modeling of Longitudinal Imaging and Survival Data	19
Simultaneous Feature- and Sample-Splitting ADMM for Penalized Rank Regression*	19
Functional Nonlinear Learning	19
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	18
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	18
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	18
Dynamic Prediction Using Landmark Historical Functional Cox Regression	17
Structured Shrinkage Priors	16
Local Indicators of Mark Association for Marked Spatial Point Processes	15
Renewable ℓ 1 -Regularized Linear Support Vector Machine with High-Dimensional Streaming Data	14
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	14
Fast Conservative Monte Carlo Confidence Sets	13
Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models	12
Core-Elements Subsampling for Alternating Least Squares	12
Tree-Enhanced Latent Space Models for Two-Mode Networks	12
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	11
Functional Mixed Membership Models	11

Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	11
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	10
Biconvex Clustering	10
Implicit Copula Variational Inference	10
Functional Projection K -means	10
Principal Subsimplex Analysis	10
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	9
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	9
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	9
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	9
Adaptive Sequential Monte Carlo for Structured Cross Validation in Bayesian Hierarchical Models	9
EM Algorithm for the Estimation of the RETAS Model	9
Multi-label Random Subspace Ensemble Classification	9
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	9
Backward Importance Sampling for Online Estimation of State Space Models	9
On the Use of Minimum Penalties in Statistical Learning	9
Massive Parallelization of Massive Sample-Size Survival Analysis	9
On Data Augmentation for Models Involving Reciprocal Gamma Functions	8
On Inference for Modularity Statistics in Structured Networks	8
A Generalized Mean Approach for Distributed-PCA	8
Optimal Integrating Learning for Split Questionnaire Design Type Data	8
EMbru: A Quick and Accurate Bayesian Inference Method for Hawkes Point Process Modeling	8
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	8
Fast Bayesian Functional Principal Components Analysis	8
Variational Inference of Bayesian Dynamic Generalized Additive Models for Mortality Analysis	8
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	8
Hidden Block Regression: A General Framework for Multi-Response Models with Group Structures and Hidden Variables	8
Bayesian Nowcasting with Laplacian-P-Splines	8
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	7
Approximations in the Homogeneous Ising Model with Application to Scene Analysis	7
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	7
More Powerful Selective Inference for the Graph Fused Lasso	7
Meta Clustering for Collaborative Learning	7
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
On Exact Computation of Tukey Depth Central Regions	7
Supervised Manifold Learning for Functional Data	7
Computational Approaches for Exponential-Family Factor Analysis	7
Correction	7
Tensor Additive Quantile Regression	7
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	7
Wavelet Feature Screening	7
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	7
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	7
Supervised Predictive Modeling of High-Dimensional Data with Group ℓ 0 -Norm Constrained Neural Networks	7
Can You See The Change? Change Point Detection Using Visual Inference	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	7
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	6
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	6

Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis	6
A Unified Framework for Community Detection and Model Selection in Blockmodels	6
Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model	6
Accelerated Structured Matrix Factorization	6
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	6
Casewise and Cellwise Robust Multilinear Principal Component Analysis	6
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	6
Online Spectral Density Estimation	6
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	6
Scalable Variational Bayes Inference for Dynamic Variable Selection	6
Efficient Quantization Mean Estimation for Distributed Learning	6
Subgroup Structure Detection and Prediction via Minimal Spanning Tree	6
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	6
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	6
Monotone Cubic B-Splines with a Neural-Network Generator	6
The Mean Shape under the Relative Curvature Condition	6
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models	6
Deep Neural Network for Functional Graphical Models Structure Learning	6
Spatio-Temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing	6
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
Dependence Model Assessment and Selection with DecoupleNets	5
Community Detection with Heterogeneous Block Covariance Model	5
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	5
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	5
AddiVortes: (Bayesian) Additive Voronoi Tessellations	5
Nonlinear Functional Modeling Using Neural Networks	5
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	5
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	5
Heterogeneous Functional Regression for Subgroup Analysis	5
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	5
Big Data Model Building Using Dimension Reduction and Sample Selection	5
On the Wasserstein Median of Probability Measures	5
Approximate Bayesian Computation with Deep Learning and Conformal prediction	5
Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation	5
Deeply Learned Generalized Linear Models with Missing Data	5
High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	5
Hybrid Kronecker Product Decomposition and Approximation	5
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	5
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	4
Triangular Concordance Learning of Networks	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
Varying Coefficient Model via Adaptive Spline Fitting	4
Eye Fitting Straight Lines in the Modern Era	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
A Fast, Closed-Form Bandwidth Selector for the Beta Kernel Density Estimator	4
Choice of Trimming Proportion and Number of Clusters in Robust Clustering based on Trimming	4
Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates	4
Variable Selection and Basis Learning for Ordinal Classification	4
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	4
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	4
Correction	4
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	4
Few-Round Distributed Principal Component Analysis: Closing the Statistical Efficiency Gap by Consensus	4
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	4
Boosting Prediction with Data Missing Not at Random	4
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection	4
Approximating Partial Likelihood Estimators via Optimal Subsampling	4
Co-Factor Analysis of Citation Networks	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
Principal Variables Analysis for Non-Gaussian Data	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
Generative Quantile Regression with Variability Penalty	4
Bayesian Multilevel Network Recovery Selection	4
Loss-Based Variational Bayes Prediction	4
Fast Bayesian Record Linkage for Streaming Data Contexts	4
Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model	4
Nonparametric Assessment of Variable Selection and Ranking Algorithms	3
Online Kernel-Based Mode Learning	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3

A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs	3
A Simple Algorithm for Exact Multinomial Tests	3
Copulas and Histogram-Valued Data	3
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks	3
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error	3
Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting	3
Sampling Random Graphs with Specified Degree Sequences	3
Elastic Full Procrustes Analysis of Plane Curves via Hermitian Covariance Smoothing	3
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models	3
Edge-Covariate Differential Privacy for Covariate-Assisted Networks	3
A Simple Divide-and-Conquer-based Distributed Method for the Accelerated Failure Time Model	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
Quasi-Monte Carlo with One Categorical Variable	3
Kernel Variable Importance Measure with Applications	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Optimization for Calibration of Survey Weights under a Large Number of Conflicting Constraints	3
Modeling Longitudinal Data Using Matrix Completion	3
Adaptive Shrinkage with a Nonparametric Bayesian Lasso	3
Multi-Task Learning for Gaussian Graphical Regressions with High Dimensional Covariates	3
Powerful Significance Testing for Unbalanced Clusters	3
Bayesian Estimation of Clustered Dependence Structures in Functional Neuroconnectivity	3
Metaheuristic Solutions to Order-of-Addition Design Problems	3
Cell-TRICC: A Model-Based Approach to Cellwise-Trimmed Co-Clustering	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models	3
Adaptive Mode Learning for Nonstationary Streaming Data	3
Representation Learning of Dynamic Networks	3
Reluctant Interaction Modeling in Generalized Linear Models	3
NeuroPMD: Neural Fields for Density Estimation on Product Manifolds	3
Improving Disease Risk Estimation in Small Areas by Accounting for Spatio-Temporal Local Discontinuities	3
Smoothed Quantile Regression for Spatial Data	3
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach	3
Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models	3
Representative Learning for Distributed Learning with Heterogeneity and Asynchrony	3
Fast and Robust Invariant Generalized Linear Models	3
Differentially Private Bayesian Inference for Gaussian Copula Correlations	3
Penguins Go Parallel: A Grammar of Graphics Framework for Generalized Parallel Coordinate Plots	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
A General Purpose Approximation to the Ferguson-Klass Algorithm for Sampling from Lévy Processes Without Gaussian Components	2
Exactly Uncorrelated Sparse Principal Component Analysis	2
Doubly Adaptive Importance Sampling	2
Functional Data Representation with Merge Trees	2
A Distribution-Free Method for Change Point Detection in Non-Sparse High Dimensional Data	2
Unveil Linear Patterns of Dependence via K Regression Clustering	2
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives	2
OPTICS: Order-Preserved Test-Inverse Confidence Set for Number of Change-Points	2
Multi-Group Quadratic Discriminant Analysis via Projection	2
Efficient Sampling From the Watson Distribution in Arbitrary Dimensions	2
Supervised Stratified Subsampling for Predictive Analytics	2
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty	2
QuIP: Experimental Design for Expensive Simulators with Many Qualitative Factors via Integer Programming	2
When Tukey Meets Chauvenet: A New Boxplot Criterion for Outlier Detection	2
A Bootstrap-based Method for Testing Similarity of Matched Networks	2
Generative Neural Networks for Characteristic Functions	2
Augmentation Samplers for Multinomial Probit Bayesian Additive Regression Trees	2
Perception and Cognitive Implications of Logarithmic Scales for Exponentially Increasing Data: Perceptual Sensitivity Tested with Statistical Lineups	2
Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks	2
Simultaneous Coefficient Clustering and Sparsity for Multivariate Mixed Models	2
Change Point Detection in Pairwise Comparison Data with Covariates	2
Heckman Selection-Contaminated Normal Model	2
ACRONYM: Augmented Degree Corrected, Community Reticulated Organized Network Yielding Model	2
Vector Copula Variational Inference and Dependent Block Posterior Approximations	2
A Scalable Method to Exploit Screening in Gaussian Process Models with Noise	2
An Interpretable Neural Network-based Nonproportional Odds Model for Ordinal Regression	2
Correction	2
Optimization-Based Sensitivity Analysis for Unmeasured Confounding Using Partial Correlations	2
Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series	2
A Graph-Based Framework for Nonparametric Tests of Multivariate Independence	2
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes	2
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference	2
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States	2
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models	2
Correspondence Analysis on Sparse Bipartite Graphs with Hyperspecialization	2
A Dimension Reduction Approach to Edge Weight Estimation for Use in Spatial Models	2
Bayesian L 1/2 Regression	2
Summarizing Nonparametric Bayesian Mixture Posteriors—Sliced Optimal Transport Metrics for Gaussian Mixtures	2
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model	2
A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data	2
Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners	2
Differentially Private Methods for Compositional Data	2
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference	2
A Mirror Descent Approach to Maximum Likelihood Estimation in Latent Variable Models	2
Functional Time Series Analysis and Visualization Based on Records	2
Adaptive Generative Moment Matching Networks for Improved Learning of Dependence Structures	2
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo	2
Clustering Locally Stationary Time Series Using Quantile Autocorrelations	2
Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties	1
Kernelized Discriminant Analysis for Joint Modeling of Multivariate Categorical Responses	1
fastkqr: A Fast Algorithm for Kernel Quantile Regression	1
Doubly Regularized Matrix-Variate Regression	1
A Unified Approach to Variable Selection for Partially Linear Models	1
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso	1