Journal of Computational and Graphical Statistics

Article	Citations
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms	46
Automated Redistricting Simulation Using Markov Chain Monte Carlo	34
Local Linear Forests	26
Anomaly Detection in High-Dimensional Data	25
The Automatic Construction of Bootstrap Confidence Intervals	24
Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies	24
LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model	21
The Chi-Square Test of Distance Correlation	21
Efficient Sampling and Structure Learning of Bayesian Networks	20
Survival Regression with Accelerated Failure Time Model in XGBoost	19
Model Interpretation Through Lower-Dimensional Posterior Summarization	17
Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains	16
Least-Square Approximation for a Distributed System	15
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate	14
Search Algorithms and Loss Functions for Bayesian Clustering	14
Optimal Sampling for Generalized Linear Models Under Measurement Constraints	14
Data Integration with Oracle Use of External Information from Heterogeneous Populations	14
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering	13
High-Dimensional Copula Variational Approximation Through Transformation	13
Massive Parallelization Boosts Big Bayesian Multidimensional Scaling	13
Additive Functional Cox Model	13
Robust Approximate Bayesian Inference With Synthetic Likelihood	13
Nonlinear Variable Selection via Deep Neural Networks	12
Learning Multiple Quantiles With Neural Networks	12
Mixtures of Matrix-Variate Contaminated Normal Distributions	12

Predictive Distribution Modeling Using Transformation Forests	11
Fast Univariate Inference for Longitudinal Functional Models	11
Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression	11
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models	11
Rapid Bayesian Inference for Expensive Stochastic Models	10
Randomized Spectral Clustering in Large-Scale Stochastic Block Models	10
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods	10
The Holdout Randomization Test for Feature Selection in Black Box Models	10
Bayesian Optimization Via Barrier Functions	10
Co-Clustering of Ordinal Data via Latent Continuous Random Variables and Not Missing at Random Entries	9
Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data	9
Global Consensus Monte Carlo	9
Subset Multivariate Collective and Point Anomaly Detection	9
Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM	9
Change-Point Detection for Graphical Models in the Presence of Missing Values	9
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms	9
Smoothing Splines Approximation Using Hilbert Curve Basis Selection	8
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions	8
Bayesian Variable Selection for Gaussian Copula Regression Models	8
Vecchia-Approximated Deep Gaussian Processes for Computer Experiments	8
Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models	8
Multi-Resolution Filters for Massive Spatio-Temporal Data	8
d-blink: Distributed End-to-End Bayesian Entity Resolution	8
Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks	7
Scalable Algorithms for Large Competing Risks Data	7
Dependent Modeling of Temporal Sequences of Random Partitions	7
Model Checking for Hidden Markov Models	7
Efficient Bayesian Synthetic Likelihood With Whitening Transformations	7
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data	7
Automatic Transformation and Integration to Improve Visualization and Discovery of Latent Effects in Imaging Data	7
Marginally Calibrated Deep Distributional Regression	6
TheG-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models	6
Fast Computation of Latent Correlations	6
Model-Based Microbiome Data Ordination: A Variational Approximation Approach	6
Logistic Regression Models for Aggregated Data	6
Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso	6
MIP-BOOST: Efficient and Effective L0 Feature Selection for Linear Regression	6
Multiple Imputation Through XGBoost	6
A Slice Tour for Finding Hollowness in High-Dimensional Data	6
Consensus Monte Carlo for Random Subsets Using Shared Anchors	6
Eigenvectors from Eigenvalues Sparse Principal Component Analysis	6
Importance Sampling with the Integrated Nested Laplace Approximation	6
Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion	6
Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation	6
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation	6
Distributed Bayesian Inference in Linear Mixed-Effects Models	6
Shrinking the Covariance Matrix Using Convex Penalties on the Matrix-Log Transformation	5
Delayed Acceptance ABC-SMC	5
Illumination Depth	5
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	5

Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance	5
Integrated Depths for Partially Observed Functional Data	5
Nonparametric Anomaly Detection on Time Series of Graphs	5
Deep Learning With Functional Inputs	5
Clustering and Prediction With Variable Dimension Covariates	5
Cluster Optimized Proximity Scaling	5
Likelihood Evaluation of Jump-Diffusion Models Using Deterministic Nonlinear Filters	5
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes	5
Generalized Tensor Decomposition With Features on Multiple Modes	5
Generalized Link-Based Additive Survival Models with Informative Censoring	5
Bayesian Spatial Clustering of Extremal Behavior for Hydrological Variables	5
A Projection Pursuit Forest Algorithm for Supervised Classification	5
Sequential Learning of Active Subspaces	5
Testing for Equivalence of Network Distribution Using Subgraph Counts	5
Reproducible Hyperparameter Optimization	5
Online Updating of Survival Analysis	5
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction	4
Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion	4
Markov Chain Importance Sampling—A Highly Efficient Estimator for MCMC	4
Interactive Slice Visualization for Exploring Machine Learning Models	4
Manifold Optimization-Assisted Gaussian Variational Approximation	4
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo	4
Bayesian Variational Inference for Exponential Random Graph Models	4
Assessing and Visualizing Simultaneous Simulation Error	4
Estimating Multiple Precision Matrices With Cluster Fusion Regularization	4
Nonlinear Functional Modeling Using Neural Networks	4
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation	4
Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling	4
Poisson Kernel-Based Clustering on the Sphere: Convergence Properties, Identifiability, and a Method of Sampling	4
Dimension Reduction for Outlier Detection Using DOBIN	4
Generalized Spatially Varying Coefficient Models	4
Scalable Hyperparameter Selection for Latent Dirichlet Allocation	4
Scaled Torus Principal Component Analysis	4
Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors	4
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression	4
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC	4
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors	4
MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization	4
Zig-Zag Sampling for Discrete Structures and Nonreversible Phylogenetic MCMC	4
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference	4
Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods	3
Sequential Learning of Regression Models by Penalized Estimation	3
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	3
A General Method for Deriving Tight Symbolic Bounds on Causal Effects	3
Kriging Riemannian Data via Random Domain Decompositions	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
An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model	3
Enforcing Stationarity through the Prior in Vector Autoregressions	3
Random Forest Adjustment for Approximate Bayesian Computation	3
Visualization for Interval Data	3
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	3
Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data	3
A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion	3
Global Likelihood Sampler for Multimodal Distributions	3
Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks	3
Adaptive Preferential Sampling in Phylodynamics With an Application to SARS-CoV-2	3
Nonreversible Jump Algorithms for Bayesian Nested Model Selection	3
Mixture of Linear Models Co-supervised by Deep Neural Networks	3
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	3
Implicit Copula Variational Inference	3
Model-Based Edge Clustering	3
Parameter Estimation of Binned Hawkes Processes	3
Predicting the Output From a Stochastic Computer Model When a Deterministic Approximation is Available	3
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models	3
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines	3
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	3
Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models	3
Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty	3
AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time Series	3
Matrix Autoregressive Spatio-Temporal Models	3
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	3
Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data	2
Improving Estimation in Functional Linear Regression With Points of Impact: Insights Into Google AdWords	2
Interval Censored Recursive Forests	2
Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation	2
Estimation and Model Selection for Nonparametric Function-on-Function Regression	2
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions	2
Surrogate Residuals for Discrete Choice Models	2
Practical Network Modeling via Tapered Exponential-Family Random Graph Models	2

Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers	2
The q–q Boxplot	2
Semi-Complete Data Augmentation for Efficient State Space Model Fitting	2
Improving Bayesian Local Spatial Models in Large Datasets	2
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings	2
Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles	2
Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models	2
Fast Forecast Reconciliation Using Linear Models	2
Selective Imputation of Covariates in High Dimensional Censored Data	2
Bayesian Semiparametric Analysis of Multivariate Continuous Responses, With Variable Selection	2
Model-Free Variable Selection With Matrix-Valued Predictors	2
Dermoscopic Image Classification with Neural Style Transfer	2
Alternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation	2
Features of the Polynomial Biplot for Ordered Contingency Tables	2
Directional Quantile Classifiers	2
Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach	2
More Powerful Selective Inference for the Graph Fused Lasso	2
Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation	2
Approximating Partial Likelihood Estimators via Optimal Subsampling	2
Log-Rank-Type Tests for Equality of Distributions in High-Dimensional Spaces	2
Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models	2
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning	2
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model	2
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives	2
A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution	2
U-Statistical Inference for Hierarchical Clustering	2
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates	2
Design Principles for Data Analysis	2
Statistical Analysis of Locally Parameterized Shapes	2
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	2
Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers	2
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization	2
Mutually Exciting Point Process Graphs for Modeling Dynamic Networks	2
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies	2
Fast, Approximate Maximum Likelihood Estimation of Log-Gaussian Cox Processes	2
Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models	2
Sparse Functional Boxplots for Multivariate Curves	2
Efficient Parameter Sampling for Markov Jump Processes	1
Branching Process Models to Identify Risk Factors for Infectious Disease Transmission	1
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities	1
Bayesian Nonparametric Modeling of Conditional Multidimensional Dependence Structures	1
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	1
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression	1
Accelerated and Interpretable Oblique Random Survival Forests	1
Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination	1
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference	1
Bayesian Computation in Dynamic Latent Factor Models	1
Projected Pólya Tree	1
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	1
Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR)	1
Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests	1
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data	1
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models	1
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference	1
Globally Centered Autocovariances in MCMC	1
Scalable Feature Matching Across Large Data Collections	1
Analytic Permutation Testing for Functional Data ANOVA	1
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	1
Joint Modeling of Longitudinal Imaging and Survival Data	1
Local Gaussian Process Extrapolation for BART Models with Applications to Causal Inference	1
Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	1
Locally Sparse Function-on-Function Regression	1
Functional Mixed Membership Models	1
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization	1
Leave-One-Out Kernel Density Estimates for Outlier Detection	1
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model	1
Multiway Sparse Distance Weighted Discrimination	1
Exhaustive Goodness of Fit Via Smoothed Inference and Graphics	1
Hybrid Kronecker Product Decomposition and Approximation	1
A Simple Algorithm for Exact Multinomial Tests	1
On Construction and Estimation of Stationary Mixture Transition Distribution Models	1
Cost-based Feature Selection for Network Model Choice	1
Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors	1
Fast Bayesian Record Linkage for Streaming Data Contexts	1
Robust Multivariate Lasso Regression with Covariance Estimation	1
Multivariate Functional Regression Via Nested Reduced-Rank Regularization	1
Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization	1
On Data Augmentation for Models Involving Reciprocal Gamma Functions	1
Adaptive Bayesian Spectral Analysis of High-Dimensional Nonstationary Time Series	1
Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees	1
Robust Transformations for Multiple Regression via Additivity and Variance Stabilization	1
Assessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions	1
Asynchronous and Distributed Data Augmentation for Massive Data Settings	1
Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator	1
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers	1
Sparse Single Index Models for Multivariate Responses	1
Quantum Annealing via Path-Integral Monte Carlo With Data Augmentation	1
A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules	1
Fast Multilevel Functional Principal Component Analysis	1
Bayesian Semiparametric Covariate Informed Multivariate Density Deconvolution	1
GEE-Assisted Forward Regression for Spatial Latent Variable Models	1
A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data	1
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Replicated Time Series	1
Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition	1
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation	1