Journal of Computational and Graphical Statistics

Article	Citations
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	75
Local Clustering for Functional Data	49
Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks	41
Correction	33
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	31
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	29
Analytic Permutation Testing for Functional Data ANOVA	25
Joint Modeling of Longitudinal Imaging and Survival Data	20
Functional Nonlinear Learning	20
Optimizing Two-Arm Clinical Trials for Personalized Medicine Using Integer Programming and Heuristic Algorithms	18
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	18
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	18
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	16
Core-elements Subsampling for Alternating Least Squares	16
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	16
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	16
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	16
Biconvex Clustering	16
Dynamic Prediction Using Landmark Historical Functional Cox Regression	15
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	14
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	14
Implicit Copula Variational Inference	13
Renewable ℓ 1 -Regularized Linear Support Vector Machine with High-Dimensional Streaming Data	13
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	13
Integrated Depths for Partially Observed Functional Data	13

Functional Projection K -means	13
Tree-Enhanced Latent Space Models for Two-Mode Networks	12
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	12
Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models	12
Fast Conservative Monte Carlo Confidence Sets	12
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	11
Local Indicators of Mark Association for Marked Spatial Point Processes	11
Structured Shrinkage Priors	10
Scalable Feature Matching Across Large Data Collections	10
Functional Mixed Membership Models	10
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	10
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	10
On the Use of Minimum Penalties in Statistical Learning	10
Backward Importance Sampling for Online Estimation of State Space Models	10
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	9
Optimal Integrating Learning for Split Questionnaire Design Type Data	9
Massive Parallelization of Massive Sample-Size Survival Analysis	9
On Data Augmentation for Models Involving Reciprocal Gamma Functions	9
A Generalized Mean Approach for Distributed-PCA	9
Multi-label Random Subspace Ensemble Classification	9
EMbru: A Quick and Accurate Bayesian Inference Method for Hawkes Point Process Modeling	9
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	8
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	8
Variational Inference of Bayesian Dynamic Generalized Additive Models for Mortality Analysis	8
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	8
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	8
Bayesian Nowcasting with Laplacian-P-Splines	8
Adaptive Sequential Monte Carlo for Structured Cross Validation in Bayesian Hierarchical Models	8
Fast Bayesian Functional Principal Components Analysis	8
Hidden Block Regression: A General Framework for Multi-Response Models with Group Structures and Hidden Variables	8
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	8
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	8
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
EM Algorithm for the Estimation of the RETAS Model	7
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	7
Correction	7
Meta Clustering for Collaborative Learning	7
Enforcing Stationarity through the Prior in Vector Autoregressions	7
On Inference for Modularity Statistics in Structured Networks	7
Approximations in the Homogeneous Ising Model with Application to Scene Analysis	7
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	7
Can You See The Change? Change Point Detection Using Visual Inference	7
Search Algorithms and Loss Functions for Bayesian Clustering	7
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
Wavelet Feature Screening	7
On Exact Computation of Tukey Depth Central Regions	7
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	6
Deep Neural Network for Functional Graphical Models Structure Learning	6
Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model	6

Supervised Manifold Learning for Functional Data	6
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	6
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	6
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	6
Bayesian Distance Weighted Discrimination	6
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models	6
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	6
Supervised Predictive Modeling of High-Dimensional Data with Group ℓ 0 -Norm Constrained Neural Networks	6
More Powerful Selective Inference for the Graph Fused Lasso	6
Spatio-Temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing	6
Computational Approaches for Exponential-Family Factor Analysis	6
Subgroup Structure Detection and Prediction via Minimal Spanning Tree	6
Double-Matched Matrix Decomposition for Multi-View Data	6
Efficient Quantization Mean Estimation for Distributed Learning	6
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	6
A Projection Approach to Local Regression with Variable-Dimension Covariates	6
Casewise and Cellwise Robust Multilinear Principal Component Analysis	6
Scalable Variational Bayes Inference for Dynamic Variable Selection	5
Monotone Cubic B-Splines with a Neural-Network Generator	5
Online Spectral Density Estimation	5
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
Approximate Bayesian Computation with Deep Learning and Conformal prediction	5
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	5
Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis	5
High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
Nonlinear Functional Modeling Using Neural Networks	5
A Unified Framework for Community Detection and Model Selection in Blockmodels	5
DeepMoM: Robust Deep Learning With Median-of-Means	5
The Mean Shape under the Relative Curvature Condition	5
Dependence Model Assessment and Selection with DecoupleNets	5
Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation	5
On the Wasserstein Median of Probability Measures	5
Deeply Learned Generalized Linear Models with Missing Data	5
Accelerated Structured Matrix Factorization	5
Principal Variables Analysis for Non-Gaussian Data	4
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
Correction	4
Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model	4
Approximating Partial Likelihood Estimators via Optimal Subsampling	4
Choice of Trimming Proportion and Number of Clusters in Robust Clustering based on Trimming	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	4
Hybrid Kronecker Product Decomposition and Approximation	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
AddiVortes: (Bayesian) Additive Voronoi Tessellations	4
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	4
Variable Selection and Basis Learning for Ordinal Classification	4
Boosting Prediction with Data Missing Not at Random	4
Bayesian Multilevel Network Recovery Selection	4
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	4
Community Detection with Heterogeneous Block Covariance Model	4
Generative Quantile Regression with Variability Penalty	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Eye Fitting Straight Lines in the Modern Era	4
Heterogeneous Functional Regression for Subgroup Analysis	4
Triangular Concordance Learning of Networks	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	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
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	4
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	4
Varying Coefficient Model via Adaptive Spline Fitting	4
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	4
Co-Factor Analysis of Citation Networks	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	4
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	4
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4

Big Data Model Building Using Dimension Reduction and Sample Selection	4
Quasi-Monte Carlo with one categorical variable	3
Loss-Based Variational Bayes Prediction	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
Optimization for Calibration of Survey Weights under a Large Number of Conflicting Constraints	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach	3
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models	3
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function	3
Predictive Subdata Selection for Computer Models	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
Improving Disease Risk Estimation in Small Areas by Accounting for Spatio-temporal Local Discontinuities	3
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs	3
NeuroPMD: Neural Fields for Density Estimation on Product Manifolds	3
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data	3
Eigen-Adjusted Functional Principal Component Analysis	3
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection	3
Nonparametric Assessment of Variable Selection and Ranking Algorithms	3
Kernel Variable Importance Measure with Applications	3
Modeling Longitudinal Data Using Matrix Completion	3
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm	3
Reluctant Interaction Modeling in Generalized Linear Models	3
A Simple Algorithm for Exact Multinomial Tests	3
Bayesian Kernel Two-Sample Testing	3
Copulas and Histogram-Valued Data	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Edge-Covariate Differential Privacy for Covariate-Assisted Networks	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	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
Adaptive Shrinkage with a Nonparametric Bayesian Lasso	3
Sampling Random Graphs with Specified Degree Sequences	3
Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes	3
Online Kernel-Based Mode Learning	3
Smoothed Quantile Regression for Spatial Data	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models	2
ACRONYM: Augmented Degree Corrected, Community Reticulated Organized Network Yielding Model	2
Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series	2
A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data	2
A Bootstrap-based Method for Testing Similarity of Matched Networks	2
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model	2
Functional Time Series Analysis and Visualization Based on Records	2
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty	2
An Interpretable Neural Network-based Nonproportional Odds Model for Ordinal Regression	2
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States	2
Vector Copula Variational Inference and Dependent Block Posterior Approximations	2
Multi-Task Learning for Gaussian Graphical Regressions with High Dimensional Covariates	2
Supervised Stratified Subsampling for Predictive Analytics	2
Powerful Significance Testing for Unbalanced Clusters	2
Cell-TRICC: A Model-Based Approach to Cellwise-Trimmed Co-Clustering	2
Correspondence Analysis on Sparse Bipartite Graphs with Hyperspecialization	2
Efficient Sampling From the Watson Distribution in Arbitrary Dimensions	2
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models	2
Representative Learning for Distributed Learning with Heterogeneity and Asynchrony	2
Multiple Imputation Through XGBoost	2
Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks	2
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference	2
Exactly Uncorrelated Sparse Principal Component Analysis	2
Differentially Private Methods for Compositional Data	2
Optimization-Based Sensitivity Analysis for Unmeasured Confounding Using Partial Correlations	2
Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners	2
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference	2
A Simple Divide-and-Conquer-based Distributed Method for the Accelerated Failure Time Model	2
Doubly Adaptive Importance Sampling	2
Fast and Robust Invariant Generalized Linear Models	2
Multi-Group Quadratic Discriminant Analysis via Projection	2
Generative Neural Networks for Characteristic Functions	2
Metaheuristic Solutions to Order-of-Addition Design Problems	2
Perception and Cognitive Implications of Logarithmic Scales for Exponentially Increasing Data: Perceptual Sensitivity Tested with Statistical Lineups	2
A Mirror Descent Approach to Maximum Likelihood Estimation in Latent Variable Models	2
Correction	2
A Distribution-Free Method for Change Point Detection in Non-Sparse High Dimensional Data	2
Bayesian Estimation of Clustered Dependence Structures in Functional Neuroconnectivity	2
Bayesian Smoothing and Variable Selection Using Variational Automatic Relevance Determination	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 Trend Filtering via Proximal Markov Chain Monte Carlo	2
Persistence Flamelets: Topological Invariants for Scale Spaces	2
A Graph-Based Framework for Nonparametric Tests of Multivariate Independence	2
A General Purpose Approximation to the Ferguson-Klass Algorithm for Sampling from Lévy Processes Without Gaussian Components	2
Heckman Selection-Contaminated Normal Model	2
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error	2
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models	2
When Tukey Meets Chauvenet: A New Boxplot Criterion for Outlier Detection	2
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives	2
Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting	2
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models	2
Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks	2
Clustering Locally Stationary Time Series Using Quantile Autocorrelations	2
Unveil Linear Patterns of Dependence via K Regression Clustering	2
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes	2
Functional Data Representation with Merge Trees	2