VOL. 12 · NO. 4 | December 2017
Bayesian Anal. 12 (4), (December 2017)
No abstract available
Bayesian Anal. 12 (4), (December 2017)
No abstract available
Articles from the 2016 ISBA World Meeting
Sarah Filippi, Chris C. Holmes
Bayesian Anal. 12 (4), 919-938, (December 2017) DOI: 10.1214/16-BA1027
KEYWORDS: dependence measure, Bayesian nonparametrics, Pólya tree, Hypothesis testing
Daniel Taylor-Rodríguez, Kimberly Kaufeld, Erin M. Schliep, James S. Clark, Alan E. Gelfand
Bayesian Anal. 12 (4), 939-967, (December 2017) DOI: 10.1214/16-BA1031
KEYWORDS: abundance, hierarchical model, latent variables, Markov chain Monte Carlo, presence–absence
David Puelz, P. Richard Hahn, Carlos M. Carvalho
Bayesian Anal. 12 (4), 969-989, (December 2017) DOI: 10.1214/17-BA1053
KEYWORDS: decoupling shrinkage and selection, seemingly unrelated regressions, penalized utility selection
Clara Grazian, Brunero Liseo
Bayesian Anal. 12 (4), 991-1016, (December 2017) DOI: 10.1214/17-BA1080
KEYWORDS: multivariate dependence, Bayesian exponentially tilted empirical likelihood, Spearman’s ρ, tail dependence coefficients, partially specified models
Yulai Cong, Bo Chen, Mingyuan Zhou
Bayesian Anal. 12 (4), 1017-1037, (December 2017) DOI: 10.1214/17-BA1052
KEYWORDS: Cholesky decomposition, conditional distribution, equality constraints, high-dimensional regression, structured covariance/precision matrix
B. Liquet, K. Mengersen, A. N. Pettitt, M. Sutton
Bayesian Anal. 12 (4), 1039-1067, (December 2017) DOI: 10.1214/17-BA1081
KEYWORDS: Bayesian variable selection, multivariate regression, Sparsity, spike and slab
Peter Grünwald, Thijs van Ommen
Bayesian Anal. 12 (4), 1069-1103, (December 2017) DOI: 10.1214/17-BA1085
Regular Articles
Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, Brandon Willard
Bayesian Anal. 12 (4), 1105-1131, (December 2017) DOI: 10.1214/16-BA1028
KEYWORDS: Bayesian, global–local shrinkage, horseshoe, horseshoe+, normal means, Sparsity, 62F15, 62F12, 62C10
Prasenjit Ghosh, Arijit Chakrabarti
Bayesian Anal. 12 (4), 1133-1161, (December 2017) DOI: 10.1214/16-BA1029
KEYWORDS: asymptotic minimaxity, posterior contraction, ABOS, Sparsity, one-group shrinkage priors, horseshoe prior
P. Ramírez-Cobo, R. E. Lillo, M. P. Wiper
Bayesian Anal. 12 (4), 1163-1194, (December 2017) DOI: 10.1214/16-BA1026
KEYWORDS: phase-type distributions, Markov modulated Poisson process (MMPP), Identifiability, canonical representation, Gibbs sampler, steady-state distributions, 62F15, 62M05, 60K20
Johan Pensar, Henrik Nyman, Juha Niiranen, Jukka Corander
Bayesian Anal. 12 (4), 1195-1215, (December 2017) DOI: 10.1214/16-BA1032
KEYWORDS: Markov networks, structure learning, pseudo-likelihood, non-chordal graph, Bayesian inference, regularization
Karthik Sriram, R.V. Ramamoorthi
Bayesian Anal. 12 (4), 1217-1219, (December 2017) DOI: 10.1214/17-BA1067
KEYWORDS: asymmetric Laplace, Bayesian, correction, posterior consistency, Quantile regression, 62C10
Stéphanie van der Pas, Botond Szabó, Aad van der Vaart
Bayesian Anal. 12 (4), 1221-1274, (December 2017) DOI: 10.1214/17-BA1065
KEYWORDS: credible sets, horseshoe, Sparsity, nearly black vectors, normal means problem, frequentist Bayes, 62G15, 62F15
Invited Review Paper
Nicholas G. Polson, Vadim Sokolov
Bayesian Anal. 12 (4), 1275-1304, (December 2017) DOI: 10.1214/17-BA1082
KEYWORDS: deep learning, machine learning, Artificial intelligence, LSTM models, prediction, Bayesian hierarchical models, pattern matching, TensorFlow
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