Journal of Computational and Graphical Statistics

Article	Citations
Generalized Tensor Decomposition With Features on Multiple Modes	57
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	43
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	42
Analytic Permutation Testing for Functional Data ANOVA	37
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	36
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	35
Local Clustering for Functional Data	29
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	27
Functional Nonlinear Learning	24
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	22
Implicit Copula Variational Inference	19
Functional Mixed Membership Models	19
Joint Modeling of Longitudinal Imaging and Survival Data	19
Functional Projection K -means	18
Integrated Depths for Partially Observed Functional Data	18
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression	18
Graphical Influence Diagnostics for Changepoint Models	14
Bayesian Computation in Dynamic Latent Factor Models	14
Dynamic Prediction Using Landmark Historical Functional Cox Regression	14
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	14
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models	13
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	13
Biconvex Clustering	13
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	13
Structured Shrinkage Priors	12

An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	12
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	12
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	12
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	12
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	12
Least-Square Approximation for a Distributed System	11
On the Use of Minimum Penalties in Statistical Learning	11
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	11
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	11
On Data Augmentation for Models Involving Reciprocal Gamma Functions	10
Backward Importance Sampling for Online Estimation of State Space Models	10
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	10
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities	10
Inference and Computation for Sparsely Sampled Random Surfaces	10
Scalable Feature Matching Across Large Data Collections	10
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	9
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	9
Multi-label Random Subspace Ensemble Classification	9
Optimal Integrating Learning for Split Questionnaire Design Type Data	9
On Inference for Modularity Statistics in Structured Networks	9
Massive Parallelization of Massive Sample-Size Survival Analysis	9
Enforcing Stationarity through the Prior in Vector Autoregressions	8
Fast Univariate Inference for Longitudinal Functional Models	8
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	8
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	8
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	8
Search Algorithms and Loss Functions for Bayesian Clustering	7
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
Correction	7
EM Algorithm for the Estimation of the RETAS Model	7
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model	7
Wavelet Feature Screening	7
On Exact Computation of Tukey Depth Central Regions	7
Bayesian Nowcasting with Laplacian-P-Splines	7
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC	7
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	6
Meta Clustering for Collaborative Learning	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
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	6
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	6
Learning Subspaces of Different Dimensions	6
Can You See The Change? Change Point Detection Using Visual Inference	6
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	6
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	6
More Powerful Selective Inference for the Graph Fused Lasso	6
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	6

Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	5
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	5
Bayesian Distance Weighted Discrimination	5
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission	5
Dependence Model Assessment and Selection with DecoupleNets	5
Accelerated Structured Matrix Factorization	5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	5
DeepMoM: Robust Deep Learning With Median-of-Means	5
AddiVortes: (Bayesian) Additive Voronoi Tessellations	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	5
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	5
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models	5
Deeply Learned Generalized Linear Models with Missing Data	5
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo	5
Nonlinear Functional Modeling Using Neural Networks	5
Dependent Modeling of Temporal Sequences of Random Partitions	5
A Generalized Quantile Tree Method for Subgroup Identification	5
Double-Matched Matrix Decomposition for Multi-View Data	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
A Probit Tensor Factorization Model For Relational Learning	5
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	5
Monotone Cubic B-Splines with a Neural-Network Generator	5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
On Construction and Estimation of Stationary Mixture Transition Distribution Models	4
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	4
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
Principal Variables Analysis for Non-Gaussian Data	4
Hybrid Kronecker Product Decomposition and Approximation	4
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
Heterogeneous Functional Regression for Subgroup Analysis	4
A Fast Solution to the Lasso Problem with Equality Constraints	4
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	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
Community Detection with Heterogeneous Block Covariance Model	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	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
On the Wasserstein Median of Probability Measures	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Big Data Model Building Using Dimension Reduction and Sample Selection	4
Eigenvectors from Eigenvalues Sparse Principal Component Analysis	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
Loss-Based Variational Bayes Prediction	3
The Journal of Computational and Graphical Statistics 2023 Associate Editors	3
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	3
Efficient Approximation of Leverage Scores in Two-dimensional Autoregressive Models with Application to Image Anomaly Detection	3
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	3
Co-Factor Analysis of Citation Networks	3
Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models	3
Asynchronous and Distributed Data Augmentation for Massive Data Settings	3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	3
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach	3
Mixtures of Matrix-Variate Contaminated Normal Distributions	3
Online Kernel-Based Mode Learning	3
Eye Fitting Straight Lines in the Modern Era	3
A Simple Algorithm for Exact Multinomial Tests	3
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	3
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	3
Bayesian Kernel Two-Sample Testing	3
Triangular Concordance Learning of Networks	3
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	3
Generative Quantile Regression with Variability Penalty	3
Variable Selection and Basis Learning for Ordinal Classification	3
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	3
A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules	3
Features of the Polynomial Biplot for Ordered Contingency Tables	3
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data	3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency	3
Copulas and Histogram-Valued Data	3
Eigen-Adjusted Functional Principal Component Analysis	3
Fast Bayesian Record Linkage for Streaming Data Contexts	3
Matrix Autoregressive Spatio-Temporal Models	3

Approximating Partial Likelihood Estimators via Optimal Subsampling	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
Varying Coefficient Model via Adaptive Spline Fitting	3
Data Integration with Oracle Use of External Information from Heterogeneous Populations	3
Predictive Subdata Selection for Computer Models	3
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression	3
Generative Filtering for Recursive Bayesian Inference with Streaming Data	3
A Reproducing Kernel Hilbert Space Framework for Functional Classification	3
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods	2
Log-Rank-Type Tests for Equality of Distributions in High-Dimensional Spaces	2
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty	2
Functional Time Series Analysis and Visualization Based on Records	2
Generative Neural Networks for Characteristic Functions	2
Supervised Stratified Subsampling for Predictive Analytics	2
A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion	2
Exactly Uncorrelated Sparse Principal Component Analysis	2
Multi-Task Learning for Gaussian Graphical Regressions with High Dimensional Covariates	2
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models	2
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference	2
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines	2
Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series	2
Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data	2
Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks	2
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function	2
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model	2
Smoothing Splines Approximation Using Hilbert Curve Basis Selection	2
An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model	2
Optimization for Calibration of Survey Weights under a Large Number of Conflicting Constraints	2
Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error	2
Rapid Bayesian Inference for Expensive Stochastic Models	2
Perception and Cognitive Implications of Logarithmic Scales for Exponentially Increasing Data: Perceptual Sensitivity Tested with Statistical Lineups	2
Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting	2
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo	2
Powerful Significance Testing for Unbalanced Clusters	2
Graded Matching for Large Observational Studies	2
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models	2
Augmentation Samplers for Multinomial Probit Bayesian Additive Regression Trees	2
Sampling Random Graphs with Specified Degree Sequences	2
Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners	2
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm	2
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models	2
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States	2
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models	2
Parameter Estimation of Binned Hawkes Processes	2
Differentially Private Methods for Compositional Data	2
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes	2
Random Forest Adjustment for Approximate Bayesian Computation	2
Estimation and Model Selection for Nonparametric Function-on-Function Regression	2
Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models	2
Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models	2
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning	2
Penguins Go Parallel: A Grammar of Graphics Framework for Generalized Parallel Coordinate Plots	2
Modeling Longitudinal Data Using Matrix Completion	2
Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks	2
Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes	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
Persistence Flamelets: Topological Invariants for Scale Spaces	2
Improved Estimation of High-dimensional Additive Models Using Subspace Learning	2
Efficient Sampling From the Watson Distribution in Arbitrary Dimensions	2
Metaheuristic Solutions to Order-of-Addition Design Problems	2
An Interpretable Neural Network-based Nonproportional Odds Model for Ordinal Regression	2
flexBART: Flexible Bayesian Regression Trees with Categorical Predictors	1
A Bayesian Singular Value Decomposition Procedure for Missing Data Imputation	1
The Holdout Randomization Test for Feature Selection in Black Box Models	1
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs	1
AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time Series	1
ProSpar-GP: Scalable Gaussian Process Modeling with Massive Nonstationary Datasets	1
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso	1
Nonparametric Testing of the Covariate Significance for Spatial Point Patterns under the Presence of Nuisance Covariates	1
An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models	1
Network Embedding-based Directed Community Detection with Unknown Community Number	1
Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data	1
Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization	1
Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming	1
Distortion Corrected Kernel Density Estimator on Riemannian Manifolds	1
Cost-based Feature Selection for Network Model Choice	1
Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach	1
Computational Methods for Fast Bayesian Model Assessment via Calibrated Posterior p -values	1
On Exact Feature Screening in Ultrahigh-Dimensional Binary Classification	1
Group Selection and Shrinkage: Structured Sparsity for Semiparametric Additive Models	1
Learning Block Structured Graphs in Gaussian Graphical Models	1
Enhancing Scalability in Bayesian Nonparametric Factor Analysis of Spatiotemporal Data	1
Interpretable Architecture Neural Networks for Function Visualization	1
Multiple-Use Calibration for All Future Values and Exact Two-Sided Simultaneous Tolerance Intervals in Linear Regression	1
Properties of Test Statistics for Nonparametric Cointegrating Regression Functions Based on Subsamples	1
The q–q Boxplot	1
Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference	1
An Exact Game-Theoretic Variable Importance Index for Generalized Additive Models	1
Selective Imputation of Covariates in High Dimensional Censored Data	1
Exact Bayesian Inference for Level-Set Cox Processes with Piecewise Constant Intensity Function	1
A Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol	1
Generative Multi-Purpose Sampler for Weighted M-estimation	1
Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data	1
High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization	1