VOL. 32 · NO. 1 | February 2017
Statist. Sci. 32 (1), (February 2017)
No abstract available
Statist. Sci. 32 (1), (February 2017)
No abstract available
Daniel Simpson, Håvard Rue, Andrea Riebler, Thiago G. Martins, Sigrunn H. Sørbye
Statist. Sci. 32 (1), 1-28, (February 2017) DOI: 10.1214/16-STS576
KEYWORDS: Bayesian theory, interpretable prior distributions, hierarchical models, disease mapping, information geometry, prior on correlation matrices
James G. Scott
Statist. Sci. 32 (1), 29-32, (February 2017) DOI: 10.1214/16-STS591
No abstract available
James S. Hodges
Statist. Sci. 32 (1), 33-35, (February 2017) DOI: 10.1214/16-STS601
No abstract available
Christian P. Robert, Judith Rousseau
Statist. Sci. 32 (1), 36-40, (February 2017) DOI: 10.1214/16-STS603
No abstract available
David B. Dunson
Statist. Sci. 32 (1), 41-43, (February 2017) DOI: 10.1214/16-STS607
No abstract available
Daniel Simpson, Håvard Rue, Andrea Riebler, Thiago G. Martins, Sigrunn H. Sørbye
Statist. Sci. 32 (1), 44-46, (February 2017) DOI: 10.1214/17-STS576REJ
No abstract available
Jiahua Chen
Statist. Sci. 32 (1), 47-63, (February 2017) DOI: 10.1214/16-STS578
KEYWORDS: nonparametric MLE, identfiability, Kiefer–Wolfowitz approach, penalized MLE, Pfanzagl approach
Nicolas Chopin, James Ridgway
Statist. Sci. 32 (1), 64-87, (February 2017) DOI: 10.1214/16-STS581
KEYWORDS: Bayesian computation, expectation propagation, Markov chain Monte Carlo, sequential Monte Carlo, variational inference
Cheryl J. Flynn, Clifford M. Hurvich, Jeffrey S. Simonoff
Statist. Sci. 32 (1), 88-105, (February 2017) DOI: 10.1214/16-STS586
KEYWORDS: Least absolute shrinkage and selection operator (Lasso), Oracle inequalities, High-dimensional data
Sebastian Lerch, Thordis L. Thorarinsdottir, Francesco Ravazzolo, Tilmann Gneiting
Statist. Sci. 32 (1), 106-127, (February 2017) DOI: 10.1214/16-STS588
KEYWORDS: Diebold–Mariano test, hindsight bias, likelihood ratio test, Neyman–Pearson lemma, predictive performance, probabilistic forecast, proper weighted scoring rule, rare and extreme events
Hermann Habermann, Courtney Kennedy, Partha Lahiri
Statist. Sci. 32 (1), 128-137, (February 2017) DOI: 10.1214/16-STS594
KEYWORDS: Data science, federal statistical system, leverage-salience theory, nonresponse, responsive design, sample surveys
Nitis Mukhopadhyay
Statist. Sci. 32 (1), 138-164, (February 2017) DOI: 10.1214/16-STS595
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