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
Functional Nonlinear Learning	20
Joint Modeling of Longitudinal Imaging and Survival Data	20
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	18
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
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	16
Biconvex Clustering	16
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
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
Integrated Depths for Partially Observed Functional Data	13
Functional Projection K -means	13
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
Fast Conservative Monte Carlo Confidence Sets	12
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
Local Indicators of Mark Association for Marked Spatial Point Processes	11
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	11
On the Use of Minimum Penalties in Statistical Learning	10
Backward Importance Sampling for Online Estimation of State Space Models	10
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
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
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
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
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
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
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
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

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
Casewise and Cellwise Robust Multilinear Principal Component Analysis	6
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
A Projection Approach to Local Regression with Variable-Dimension Covariates	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 Manifold Learning for Functional Data	6
Spatio-Temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing	6
Computational Approaches for Exponential-Family Factor Analysis	6
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
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
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
Generative Quantile Regression with Variability Penalty	4
Community Detection with Heterogeneous Block Covariance Model	4
Eye Fitting Straight Lines in the Modern Era	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Triangular Concordance Learning of Networks	4
Heterogeneous Functional Regression for Subgroup Analysis	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
Co-Factor Analysis of Citation Networks	4
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	4
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	4
Big Data Model Building Using Dimension Reduction and Sample Selection	4
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
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
Hybrid Kronecker Product Decomposition and Approximation	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

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