Journal of Computational and Graphical Statistics

Article	Citations
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms	65
Local Linear Forests	36
Anomaly Detection in High-Dimensional Data	28
Survival Regression with Accelerated Failure Time Model in XGBoost	26
Efficient Sampling and Structure Learning of Bayesian Networks	25
The Chi-Square Test of Distance Correlation	25
LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model	23
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models	22
Model Interpretation Through Lower-Dimensional Posterior Summarization	21
Least-Square Approximation for a Distributed System	21
Search Algorithms and Loss Functions for Bayesian Clustering	20
Data Integration with Oracle Use of External Information from Heterogeneous Populations	19
Robust Approximate Bayesian Inference With Synthetic Likelihood	18
Learning Multiple Quantiles With Neural Networks	17
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods	16
Predictive Distribution Modeling Using Transformation Forests	15
Fast Univariate Inference for Longitudinal Functional Models	15
Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression	14
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate	14
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering	14
Additive Functional Cox Model	14
Mixtures of Matrix-Variate Contaminated Normal Distributions	13
Randomized Spectral Clustering in Large-Scale Stochastic Block Models	13
Bayesian Optimization Via Barrier Functions	13
Nonlinear Variable Selection via Deep Neural Networks	12

Rapid Bayesian Inference for Expensive Stochastic Models	12
Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM	11
Multi-Resolution Filters for Massive Spatio-Temporal Data	11
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	11
The Holdout Randomization Test for Feature Selection in Black Box Models	11
Vecchia-Approximated Deep Gaussian Processes for Computer Experiments	10
Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models	10
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms	10
d-blink: Distributed End-to-End Bayesian Entity Resolution	10
Subset Multivariate Collective and Point Anomaly Detection	10
Fast Computation of Latent Correlations	10
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions	9
Change-Point Detection for Graphical Models in the Presence of Missing Values	9
Smoothing Splines Approximation Using Hilbert Curve Basis Selection	9
Eigenvectors from Eigenvalues Sparse Principal Component Analysis	9
Global Consensus Monte Carlo	9
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data	9
Bayesian Variable Selection for Gaussian Copula Regression Models	9
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	8
Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks	8
Scalable Algorithms for Large Competing Risks Data	8
Nonlinear Functional Modeling Using Neural Networks	8
Likelihood Evaluation of Jump-Diffusion Models Using Deterministic Nonlinear Filters	8
Multiple Imputation Through XGBoost	8
Deep Learning With Functional Inputs	8
Efficient Bayesian Synthetic Likelihood With Whitening Transformations	8
Sequential Learning of Active Subspaces	8
Online Updating of Survival Analysis	8
Marginally Calibrated Deep Distributional Regression	7
Cluster Optimized Proximity Scaling	7
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation	7
Integrated Depths for Partially Observed Functional Data	7
Distributed Bayesian Inference in Linear Mixed-Effects Models	7
Clustering and Prediction With Variable Dimension Covariates	7
Dependent Modeling of Temporal Sequences of Random Partitions	7
TheG-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models	7
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	7
Logistic Regression Models for Aggregated Data	7
Nonparametric Anomaly Detection on Time Series of Graphs	7
Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion	7
MIP-BOOST: Efficient and Effective L0 Feature Selection for Linear Regression	7
Model-Based Microbiome Data Ordination: A Variational Approximation Approach	7
Generalized Tensor Decomposition With Features on Multiple Modes	7
Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso	6
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	6
The q–q Boxplot	6
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	6
Importance Sampling with the Integrated Nested Laplace Approximation	6
Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation	6
Shrinking the Covariance Matrix Using Convex Penalties on the Matrix-Log Transformation	5

Design Principles for Data Analysis	5
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression	5
An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model	5
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors	5
Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance	5
Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods	5
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference	5
Estimating Multiple Precision Matrices With Cluster Fusion Regularization	5
A General Method for Deriving Tight Symbolic Bounds on Causal Effects	5
Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers	5
Manifold Optimization-Assisted Gaussian Variational Approximation	5
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	5
Zig-Zag Sampling for Discrete Structures and Nonreversible Phylogenetic MCMC	5
Sequential Learning of Regression Models by Penalized Estimation	5
Interval Censored Recursive Forests	5
A Projection Pursuit Forest Algorithm for Supervised Classification	5
Nonreversible Jump Algorithms for Bayesian Nested Model Selection	5
Interactive Slice Visualization for Exploring Machine Learning Models	5
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	5
Dimension Reduction for Outlier Detection Using DOBIN	5
Reproducible Hyperparameter Optimization	5
Parameter Estimation of Binned Hawkes Processes	5
Practical Network Modeling via Tapered Exponential-Family Random Graph Models	4
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo	4
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives	4
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	4
Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors	4
Markov Chain Importance Sampling—A Highly Efficient Estimator for MCMC	4
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC	4
Enforcing Stationarity through the Prior in Vector Autoregressions	4
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	4
Assessing and Visualizing Simultaneous Simulation Error	4
Scaled Torus Principal Component Analysis	4
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	4
Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling	4
More Powerful Selective Inference for the Graph Fused Lasso	4
Model-Based Edge Clustering	4
Matrix Autoregressive Spatio-Temporal Models	4
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model	4
A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion	4
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	4
Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models	4
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	3
Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty	3
Features of the Polynomial Biplot for Ordered Contingency Tables	3
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs	3
Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach	3
Visualization for Interval Data	3
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	3
Approximating Partial Likelihood Estimators via Optimal Subsampling	3
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines	3
Fast Forecast Reconciliation Using Linear Models	3
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach	3
Semi-Complete Data Augmentation for Efficient State Space Model Fitting	3
A Fast and Accurate Approximation to the Distributions of Quadratic Forms of Gaussian Variables	3
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks	3
Accelerated and Interpretable Oblique Random Survival Forests	3
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data	3
Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
clusterMLD: An Efficient Hierarchical Clustering Method for Multivariate Longitudinal Data	3
Random Forest Adjustment for Approximate Bayesian Computation	3
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	3
Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data	3
Spectral Clustering via Adaptive Layer Aggregation for Multi-Layer Networks	3
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model	3
Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator	3
Adaptive Preferential Sampling in Phylodynamics With an Application to SARS-CoV-2	3
Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks	3
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions	3
AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time Series	3
Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation	3
Mutually Exciting Point Process Graphs for Modeling Dynamic Networks	3
Global Likelihood Sampler for Multimodal Distributions	3
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings	3
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models	3
Selective Imputation of Covariates in High Dimensional Censored Data	3
Directional Quantile Classifiers	3
Locally Sparse Function-on-Function Regression	3
Kriging Riemannian Data via Random Domain Decompositions	3

Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	2
Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model	2
Biconvex Clustering	2
Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions	2
Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles	2
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data	2
Fast, Approximate Maximum Likelihood Estimation of Log-Gaussian Cox Processes	2
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings	2
Quantum Annealing via Path-Integral Monte Carlo With Data Augmentation	2
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization	2
Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data	2
Efficient Posterior Sampling for Bayesian Poisson Regression	2
U-Statistical Inference for Hierarchical Clustering	2
A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules	2
Statistical Analysis of Locally Parameterized Shapes	2
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity	2
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference	2
Functional Additive Models on Manifolds of Planar Shapes and Forms	2
Implicit Copula Variational Inference	2
A Scalable Hierarchical Lasso for Gene–Environment Interactions	2
Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models	2
Link Prediction for Egocentrically Sampled Networks	2
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning	2
A Simple Algorithm for Exact Multinomial Tests	2
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models	2
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty	2
Model-Free Variable Selection With Matrix-Valued Predictors	2
Dermoscopic Image Classification with Neural Style Transfer	2
The Integrated Nested Laplace Approximation for Fitting Dirichlet Regression Models	2
Cost-based Feature Selection for Network Model Choice	2
A Nearest Neighbor Open-Set Classifier based on Excesses of Distance Ratios	2
Improving Bayesian Local Spatial Models in Large Datasets	2
The Mellin Transform to Manage Quadratic Forms in Normal Random Variables	2
Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models	2
Double-Matched Matrix Decomposition for Multi-View Data	2
Log-Rank-Type Tests for Equality of Distributions in High-Dimensional Spaces	2
DeepMoM: Robust Deep Learning With Median-of-Means	2
Sparse Functional Boxplots for Multivariate Curves	2
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference	2
Joint Modeling of Longitudinal Imaging and Survival Data	2
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States	2
Estimation and Model Selection for Nonparametric Function-on-Function Regression	2
Alternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation	2
Assessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions	2
Graphical Influence Diagnostics for Changepoint Models	1
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	1
Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination	1
Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies	1
Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests	1
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization	1
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models	1
Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure	1
Generative Multi-Purpose Sampler for Weighted M-estimation	1
Scalable Feature Matching Across Large Data Collections	1
Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p -Torus Data	1
Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors	1
On Data Augmentation for Models Involving Reciprocal Gamma Functions	1
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	1
Multivariate Functional Regression Via Nested Reduced-Rank Regularization	1
Multiway Sparse Distance Weighted Discrimination	1
Robust Transformations for Multiple Regression via Additivity and Variance Stabilization	1
Bayesian Nonparametric Modeling of Conditional Multidimensional Dependence Structures	1
Iteratively Reweighted Least Squares Method for Estimating Polyserial and Polychoric Correlation Coefficients	1
Confidence Bands for a Log-Concave Density	1
Hybrid Kronecker Product Decomposition and Approximation	1
A Reproducing Kernel Hilbert Space Framework for Functional Classification	1
Fast Multilevel Functional Principal Component Analysis	1
Projected Pólya Tree	1
GEE-Assisted Forward Regression for Spatial Latent Variable Models	1
Bayesian Semiparametric Covariate Informed Multivariate Density Deconvolution	1
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation	1
Analytic Permutation Testing for Functional Data ANOVA	1
Loss-Based Variational Bayes Prediction	1
Adaptive Bayesian Spectral Analysis of High-Dimensional Nonstationary Time Series	1
A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data	1
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	1
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	1
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression	1
Functional Mixed Membership Models	1
Bayesian Computation in Dynamic Latent Factor Models	1
Smoothing Splines for Discontinuous Signals	1
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models	1
Exhaustive Goodness of Fit Via Smoothed Inference and Graphics	1
On Construction and Estimation of Stationary Mixture Transition Distribution Models	1
A Framework for Leveraging Machine Learning Tools to Estimate Personalized Survival Curves	1
Globally Centered Autocovariances in MCMC	1
Copula Graphical Models for Heterogeneous Mixed Data	1
Robust Multivariate Lasso Regression with Covariance Estimation	1
Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization	1
A Bayesian Singular Value Decomposition Procedure for Missing Data Imputation	1
Branching Process Models to Identify Risk Factors for Infectious Disease Transmission	1
Fast Bayesian Record Linkage for Streaming Data Contexts	1
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities	1
Asynchronous and Distributed Data Augmentation for Massive Data Settings	1
Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees	1