VOL. 4 · NO. 2 | June 2009
Bayesian Anal. 4 (2), (June 2009)
No abstract available
Guosheng Yin
Bayesian Anal. 4 (2), 191-207, (June 2009) DOI: 10.1214/09-BA407
KEYWORDS: Bayesian inference, correlated data, estimation efficiency, generalized estimating equation, generalized linear model, Gibbs sampling, posterior distribution
Ming-Hui Chen, Sungduk Kim
Bayesian Anal. 4 (2), 209-212, (June 2009) DOI: 10.1214/09-BA407A
No abstract available
Ciprian M. Crainiceanu
Bayesian Anal. 4 (2), 213-215, (June 2009) DOI: 10.1214/09-BA407B
No abstract available
Guosheng Yin
Bayesian Anal. 4 (2), 217-222, (June 2009) DOI: 10.1214/09-BA407REJ
No abstract available
E. Gómez-Déniz
Bayesian Anal. 4 (2), 223-242, (June 2009) DOI: 10.1214/09-BA408
KEYWORDS: Classes of distributions, Classes of distributions, credibility, minimax, Premium, posterior regret, robustness
David B. Dahl
Bayesian Anal. 4 (2), 243-264, (June 2009) DOI: 10.1214/09-BA409
KEYWORDS: Bayesian nonparametrics, Dirichlet process mixture model, Model-based clustering, maximum a posteriori clustering, maximum likelihood clustering, Product partition models
Isobel Claire Gormley, Thomas Brendan Murphy
Bayesian Anal. 4 (2), 265-295, (June 2009) DOI: 10.1214/09-BA410
KEYWORDS: Grade of membership models, Plackett-Luce model, surrogate proposal distributions, rank data, voting blocs
Chunlin Ji, Thomas B. Kepler, Daniel Merl, Mike West
Bayesian Anal. 4 (2), 297-315, (June 2009) DOI: 10.1214/09-BA411
KEYWORDS: Bayesian computation, blocked Gibbs sampler, Dirichlet process mixture model, inhomogeneous Poisson process, unobserved point process
Aude Grelaud, Jean-Michel Marin, Christian P. Robert, François Rodolphe, Jean-François Taly
Bayesian Anal. 4 (2), 317-335, (June 2009) DOI: 10.1214/09-BA412
KEYWORDS: Approximate Bayesian Computation, model choice, Gibbs random fields, Bayes factor, protein folding
James S. Clark, Michelle H. Hersh
Bayesian Anal. 4 (2), 337-365, (June 2009) DOI: 10.1214/09-BA413
KEYWORDS: DNA sequence data, forest dynamic, Janzen Connell hypothesis, reversible jump MCMC, species diversity, Variable selection
Arno Fritsch, Katja Ickstadt
Bayesian Anal. 4 (2), 367-391, (June 2009) DOI: 10.1214/09-BA414
KEYWORDS: Adjusted Rand index, cluster analysis, Dirichlet process mixture model, Markov chain Monte Carlo
Fei Liu, Mike West
Bayesian Anal. 4 (2), 393-411, (June 2009) DOI: 10.1214/09-BA415
KEYWORDS: computer model emulation, Dynamic linear model, Forwarding filtering, Backward sampling, Gaussian process, Markov chain Monte Carlo, time-varying autoregression
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