VOL. 9 · NO. 1 | March 2014
 
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Front Matter
Bayesian Anal. 9 (1), (March 2014)
No abstract available
Articles
Francisco J. Rubio, Mark F. J. Steel
Bayesian Anal. 9 (1), 1-22, (March 2014) DOI: 10.1214/13-BA849
KEYWORDS: Bayesian inference, noninformative prior, posterior existence, scale mixtures of normals, skewness
José M. Bernardo
Bayesian Anal. 9 (1), 23-24, (March 2014) DOI: 10.1214/14-BA861
No abstract available
James G. Scott
Bayesian Anal. 9 (1), 25-28, (March 2014) DOI: 10.1214/13-BA867
No abstract available
Robert E. Weiss, Marc A. Suchard
Bayesian Anal. 9 (1), 29-38, (March 2014) DOI: 10.1214/13-BA870
KEYWORDS: Jeffreys prior, Valid Bayesian inference, Benchmark Bayesian inference, skew normal, Split normal
Xinyi Xu
Bayesian Anal. 9 (1), 39-44, (March 2014) DOI: 10.1214/13-BA864
No abstract available
Francisco J. Rubio, Mark F. J. Steel
Bayesian Anal. 9 (1), 45-52, (March 2014) DOI: 10.1214/14-BA875
No abstract available
Lorna M. Barclay, Jane L. Hutton, Jim Q. Smith
Bayesian Anal. 9 (1), 53-76, (March 2014) DOI: 10.1214/13-BA843
KEYWORDS: Chain Event Graphs, Ordinal Chain Event Graphs, Bayesian model selection, missing data, missing not at random
David A. Wooff
Bayesian Anal. 9 (1), 77-96, (March 2014) DOI: 10.1214/13-BA847
KEYWORDS: Bayes linear, Sufficient, Multivariate multiple regression, Approximate Bayesian, Residual space, diagnostics, sequential, Sample-size design
Theodore Papamarkou, Antonietta Mira, Mark Girolami
Bayesian Anal. 9 (1), 97-128, (March 2014) DOI: 10.1214/13-BA848
KEYWORDS: Metropolis-Hastings, Hamiltonian Monte Carlo, Metropolis adjusted Langevin algorithms, control variates
Erlis Ruli, Nicola Sartori, Laura Ventura
Bayesian Anal. 9 (1), 129-146, (March 2014) DOI: 10.1214/13-BA851
KEYWORDS: asymptotic expansion, Bayesian computation, Inverse transform sampling, marginal posterior distribution, MCMC, Modified likelihood root, nuisance parameter, sensitivity analysis
Luis E. Nieto-Barajas, Alberto Contreras-Cristán
Bayesian Anal. 9 (1), 147-170, (March 2014) DOI: 10.1214/13-BA852
KEYWORDS: Bayes nonparametrics, Dynamic linear model, Model-based clustering, Pitman-Yor process, time series analysis
Friederike Greb, Tatyana Krivobokova, Axel Munk, Stephan von Cramon-Taubadel
Bayesian Anal. 9 (1), 171-196, (March 2014) DOI: 10.1214/13-BA850
KEYWORDS: Empirical Bayes, regularization, threshold identification
Cristiano Villa, Stephen G. Walker
Bayesian Anal. 9 (1), 197-220, (March 2014) DOI: 10.1214/13-BA854
KEYWORDS: objective prior, t distribution, Kullback–Leibler divergence, Linear regression, Self-information loss function, Robust analysis, Financial return
Veronika Rockova, Emmanuel Lesaffre
Bayesian Anal. 9 (1), 221-258, (March 2014) DOI: 10.1214/13-BA846
KEYWORDS: Bayesian shrinkage estimation, EM algorithm, Bayesian lasso, Minorization-maximization
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