The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.
计算和图形统计学杂志（JCGS）介绍了在统计和数据分析中改进和扩展计算和图形方法使用的最新技术。这本杂志成立于1992年，包含前沿的研究，数据，调查，以及更多的数字图形显示和方法，和感知。文章是为那些在统计学方面有很强背景但不一定是计算专家的读者写的。在3月、6月、9月和12月出版。
Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1537924
An Expectation Conditional Maximization Approach for Gaussian Graphical Models
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1609976
Beyond Prediction: A Framework for Inference With Variational Approximations in Mixture Models
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1609977
Multiresolution Network Models
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1505633
A Spatial Markov Model for Climate Extremes
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1482764
A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1695624
High-Dimensional Copula Variational Approximation Through Transformation
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2020.1740097
Likelihood Inference for Large Scale Stochastic Blockmodels With Covariates Based on a Divide-and-Conquer Parallelizable Algorithm With Communication
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1554486
Optimal Designs for Multi-Response Nonlinear Regression Models With Several Factors via Semidefinite Programming
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1476250
Multivariate Outliers and the O3 Plot
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1575226
Interaction Model and Model Selection for Function-on-Function Regression
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1514310
Bayesian Inference for the One-Factor Copula Model
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1482765
Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1584900
The Generalized Ridge Estimator of the Inverse Covariance Matrix
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1604374
Multiclass Probability Estimation With Support Vector Machines
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1585260
Influence Diagnostics for High-Dimensional Lasso Regression
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1598869
Efficient Threshold Selection for Multivariate Total Variation Denoising
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1476251
Two-Stage Bayesian Approach for GWAS With Known Genealogy
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1483828
Fast Bootstrap Confidence Intervals for Continuous Threshold Linear Regression
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1537927
Predicting the Output From a Stochastic Computer Model When a Deterministic Approximation is Available
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2020.1750416
Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modeling
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1558063
Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1598871
Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1482767
A Slice Tour for Finding Hollowness in High-Dimensional Data
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2020.1777140
Bayesian Semiparametric Analysis of Multivariate Continuous Responses, With Variable Selection
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2020.1739534
Classification With the Matrix-Variate-t Distribution
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1696208
A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1601097
Directional Spectra-Based Clustering for Visualizing Patterns of Ocean Waves and Winds
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1575745
Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1482760
Variable-Domain Functional Principal Component Analysis
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1604373
An Iterative Sparse-Group Lasso
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1573687
Dynamically Updated Spatially Varying Parameterizations of Hierarchical Bayesian Models for Spatial Data
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1482761
Data transforming augmentation for heteroscedastic models
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1704295
Framed! Reproducing and Revisiting 150-Year-Old Charts
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1562937
Flexible and Interpretable Models for Survival Data
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1592758
Extending ggplot2 for Linked and Animated Web Graphics
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1513367
Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2020.1725523
Node Features Adjusted Stochastic Block Model
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1530117
The Latent Scale Covariogram: A Tool for Exploring the Spatial Dependence Structure of Nonnormal Responses
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1482766
Partition Weighted Approach For Estimating the Marginal Posterior Density With Applications
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1529600
Classical Backfitting for Smooth-Backfitting Additive Models
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1530120
Diagonally Dominant Principal Component Analysis
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2020.1713798
Correction
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1654746
Correction
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1631620
The Offset Normal Shape Distribution for Dynamic Shape Analysis
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1530118
Component-Based Regularization of Multivariate Generalized Linear Mixed Models
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1598870
Good Plot Symbols by Default
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2019.1637746
Unified Noncrossing Multiple Quantile Regressions Tree
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1546592
Probabilistic Detection and Estimation of Conic Sections From Noisy Data
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2020.1737084
Construction and Visualization of Confidence Sets for Frequentist Distributional Forecasts
来源期刊：Journal of Computational and Graphical StatisticsDOI：10.1080/10618600.2018.1476252
