Journal of Computational and Graphical Statistics

Papers
(The TQCC of Journal of Computational and Graphical Statistics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Generalized Tensor Decomposition With Features on Multiple Modes53
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods39
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance39
Analytic Permutation Testing for Functional Data ANOVA36
Joint Modeling of Longitudinal Imaging and Survival Data35
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes35
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models27
Local Clustering for Functional Data27
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization24
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis24
Functional Mixed Membership Models20
Functional Nonlinear Learning20
Implicit Copula Variational Inference18
Integrated Depths for Partially Observed Functional Data17
Functional Projection K -means17
Structured Shrinkage Priors16
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation16
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression15
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory14
Bayesian Computation in Dynamic Latent Factor Models13
Using Rejection Sampling Probability of Acceptance as a Measure of Independence13
Biconvex Clustering13
Graphical Influence Diagnostics for Changepoint Models13
Dynamic Prediction Using Landmark Historical Functional Cox Regression13
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers12
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference12
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler12
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models12
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference12
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression11
Scalable Feature Matching Across Large Data Collections11
Least-Square Approximation for a Distributed System11
Fast Univariate Inference for Longitudinal Functional Models11
Backward Importance Sampling for Online Estimation of State Space Models11
EM Algorithm for the Estimation of the RETAS Model11
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs10
On Data Augmentation for Models Involving Reciprocal Gamma Functions10
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities10
Enforcing Stationarity through the Prior in Vector Autoregressions9
Inference and Computation for Sparsely Sampled Random Surfaces9
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models9
Bayesian Nowcasting with Laplacian-P-Splines9
Optimal Integrating Learning for Split Questionnaire Design Type Data9
Massive Parallelization of Massive Sample-Size Survival Analysis8
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis8
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling8
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances8
On Inference for Modularity Statistics in Structured Networks8
Multi-label Random Subspace Ensemble Classification8
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression8
Search Algorithms and Loss Functions for Bayesian Clustering7
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model7
On Exact Computation of Tukey Depth Central Regions7
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains7
On the Use of Minimum Penalties in Statistical Learning7
Wavelet Feature Screening7
Learning Subspaces of Different Dimensions7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations7
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC7
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks6
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-196
Correction6
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series6
Meta Clustering for Collaborative Learning6
A Projection Approach to Local Regression with Variable-Dimension Covariates6
Accelerated Structured Matrix Factorization5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity5
Nonlinear Functional Modeling Using Neural Networks5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association5
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity5
Double-Matched Matrix Decomposition for Multi-View Data5
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns5
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters5
Bayesian Distance Weighted Discrimination5
DeepMoM: Robust Deep Learning With Median-of-Means5
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso5
Dependent Modeling of Temporal Sequences of Random Partitions5
On the Wasserstein Median of Probability Measures5
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo5
More Powerful Selective Inference for the Graph Fused Lasso5
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions5
Can You See The Change? Visual Perception in Change Point Analysis5
A Generalized Quantile Tree Method for Subgroup Identification5
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression5
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates5
Monotone Cubic B-Splines with a Neural-Network Generator5
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects5
Variational Bayes in State Space Models: Inferential and Predictive Accuracy5
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes5
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models5
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission4
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction4
Heterogeneous Functional Regression for Subgroup Analysis4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models4
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model4
Distributed Learning for Principal Eigenspaces without Moment Constraints4
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors4
A Probit Tensor Factorization Model For Relational Learning4
A Fast Solution to the Lasso Problem with Equality Constraints4
Dependence Model Assessment and Selection with DecoupleNets4
Big Data Model Building Using Dimension Reduction and Sample Selection4
Hybrid Kronecker Product Decomposition and Approximation4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas4
Deeply Learned Generalized Linear Models with Missing Data4
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions4
AddiVortes: (Bayesian) Additive Voronoi Tessellations4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net4
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics4
On Construction and Estimation of Stationary Mixture Transition Distribution Models4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices4
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data4
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models4
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies3
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction3
Fast Bayesian Record Linkage for Streaming Data Contexts3
Generative Filtering for Recursive Bayesian Inference with Streaming Data3
Bayesian Kernel Two-Sample Testing3
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series3
A Simple Algorithm for Exact Multinomial Tests3
The Journal of Computational and Graphical Statistics 2023 Associate Editors3
Data Integration with Oracle Use of External Information from Heterogeneous Populations3
Fast Computer Model Calibration using Annealed and Transformed Variational Inference3
Eye Fitting Straight Lines in the Modern Era3
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency3
Asynchronous and Distributed Data Augmentation for Massive Data Settings3
Co-Factor Analysis of Citation Networks3
Triangular Concordance Learning of Networks3
Eigen-Adjusted Functional Principal Component Analysis3
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies3
Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach3
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression3
Features of the Polynomial Biplot for Ordered Contingency Tables3
Varying Coefficient Model via Adaptive Spline Fitting3
A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules3
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition3
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data3
Variable Selection and Basis Learning for Ordinal Classification3
Matrix Autoregressive Spatio-Temporal Models3
Copulas and Histogram-Valued Data3
Efficient Modeling of Spatial Extremes over Large Geographical Domains3
Nonstationary Spatial Modeling of Massive Global Satellite Data3
Eigenvectors from Eigenvalues Sparse Principal Component Analysis3
Communication-Efficient Nonparametric Quantile Regression via Random Features3
Loss-Based Variational Bayes Prediction3
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data3
Online Kernel-Based Mode Learning3
A Reproducing Kernel Hilbert Space Framework for Functional Classification3
Mixtures of Matrix-Variate Contaminated Normal Distributions3
Approximating Partial Likelihood Estimators via Optimal Subsampling3
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem3
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes3
Mixture of Linear Models Co-supervised by Deep Neural Networks3
Principal Variables Analysis for Non-Gaussian Data3
Generative Quantile Regression with Variability Penalty3
Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models3
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