JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Multiresolution Network Models

A Spatial Markov Model for Climate Extremes

A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data

High-Dimensional Copula Variational Approximation Through Transformation

Likelihood Inference for Large Scale Stochastic Blockmodels With Covariates Based on a Divide-and-Conquer Parallelizable Algorithm With Communication

Optimal Designs for Multi-Response Nonlinear Regression Models With Several Factors via Semidefinite Programming

Multivariate Outliers and the O3 Plot

Interaction Model and Model Selection for Function-on-Function Regression

Bayesian Inference for the One-Factor Copula Model

Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies

The Generalized Ridge Estimator of the Inverse Covariance Matrix

Multiclass Probability Estimation With Support Vector Machines

Influence Diagnostics for High-Dimensional Lasso Regression

Efficient Threshold Selection for Multivariate Total Variation Denoising

Two-Stage Bayesian Approach for GWAS With Known Genealogy

Fast Bootstrap Confidence Intervals for Continuous Threshold Linear Regression

Predicting the Output From a Stochastic Computer Model When a Deterministic Approximation is Available

Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modeling

Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms

Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods

A Slice Tour for Finding Hollowness in High-Dimensional Data

Bayesian Semiparametric Analysis of Multivariate Continuous Responses, With Variable Selection

Classification With the Matrix-Variate-t Distribution

A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models

Directional Spectra-Based Clustering for Visualizing Patterns of Ocean Waves and Winds

Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions

Variable-Domain Functional Principal Component Analysis

An Iterative Sparse-Group Lasso

Dynamically Updated Spatially Varying Parameterizations of Hierarchical Bayesian Models for Spatial Data

Data transforming augmentation for heteroscedastic models

Framed! Reproducing and Revisiting 150-Year-Old Charts

Flexible and Interpretable Models for Survival Data

Extending ggplot2 for Linked and Animated Web Graphics

Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation

Node Features Adjusted Stochastic Block Model

The Latent Scale Covariogram: A Tool for Exploring the Spatial Dependence Structure of Nonnormal Responses

Partition Weighted Approach For Estimating the Marginal Posterior Density With Applications

Classical Backfitting for Smooth-Backfitting Additive Models

Diagonally Dominant Principal Component Analysis

Correction

Correction

The Offset Normal Shape Distribution for Dynamic Shape Analysis

Component-Based Regularization of Multivariate Generalized Linear Mixed Models

Good Plot Symbols by Default

Unified Noncrossing Multiple Quantile Regressions Tree

Probabilistic Detection and Estimation of Conic Sections From Noisy Data

Construction and Visualization of Confidence Sets for Frequentist Distributional Forecasts