VOL. 34 · NO. 3 | August 2019
 
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Frontmatter
Statist. Sci. 34 (3), (August 2019)
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Statist. Sci. 34 (3), (August 2019)
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Articles
Jacqueline J. Meulman, Anita J. van der Kooij, Kevin L. W. Duisters
Statist. Sci. 34 (3), 361-390, (August 2019) DOI: 10.1214/19-STS697
KEYWORDS: Lasso and Elastic Net regularization for nominal and ordinal data, monotonic group Lasso, regularization for categorical high-dimensional data, Optimal scaling, linearization of nonlinear relationships, monotonic step functions and splines
Sijia Xiang, Weixin Yao, Guangren Yang
Statist. Sci. 34 (3), 391-404, (August 2019) DOI: 10.1214/19-STS698
KEYWORDS: EM algorithm, Mixture models, mixture regression models, semiparametric mixture models
Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, Brandon Willard
Statist. Sci. 34 (3), 405-427, (August 2019) DOI: 10.1214/19-STS700
KEYWORDS: Global-local priors, horseshoe, horseshoe+, hyper-parameter tuning, Lasso, regression, regularization, Sparsity
Anna L. Smith, Dena M. Asta, Catherine A. Calder
Statist. Sci. 34 (3), 428-453, (August 2019) DOI: 10.1214/19-STS702
KEYWORDS: Geometric curvature, graph Laplacian, latent variable, network model
Yuan Ke, Stanislav Minsker, Zhao Ren, Qiang Sun, Wen-Xin Zhou
Statist. Sci. 34 (3), 454-471, (August 2019) DOI: 10.1214/19-STS711
KEYWORDS: Covariance estimation, heavy-tailed data, $M$-estimation, nonasymptotics, tail robustness, truncation
Daniele Durante, Tommaso Rigon
Statist. Sci. 34 (3), 472-485, (August 2019) DOI: 10.1214/19-STS712
KEYWORDS: EM, logistic regression, Pólya-gamma data augmentation, quadratic approximation, variational Bayes
Pantelis Samartsidis, Shaun R. Seaman, Anne M. Presanis, Matthew Hickman, Daniela De Angelis
Statist. Sci. 34 (3), 486-503, (August 2019) DOI: 10.1214/19-STS713
KEYWORDS: Causal impact, Causal inference, difference-in-differences, intervention evaluation, latent factor models, panel data, synthetic controls
Peter M. Atkinson, Jorge Mateu
Statist. Sci. 34 (3), 504-521, (August 2019) DOI: 10.1214/19-STS703
KEYWORDS: CSIRO, Geostatistics, Lancaster, longitudinal data analysis, point pattern analysis, spatial statistics, CHICAS
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