VOL. 9 · NO. 2 | June 2014
 
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Front Matter
Bayesian Anal. 9 (2), (June 2014)
No abstract available
Articles
Zhihua Zhang, Dakan Wang, Guang Dai, Michael I. Jordan
Bayesian Anal. 9 (2), 259-286, (June 2014) DOI: 10.1214/13-BA853
KEYWORDS: Dirichlet processes, nonparametric dependent modeling, matrix-variate distributions, nonparametric discriminative analysis, latent factor regression
Nammam Ali Azadi, Paul Fearnhead, Gareth Ridall, Joleen H. Blok
Bayesian Anal. 9 (2), 287-306, (June 2014) DOI: 10.1214/13-BA855
KEYWORDS: Bayesian design, sequential design, motor unit, particle filtering, generalized linear model, Binary response
Juhee Lee, Steven N. MacEachern, Yiling Lu, Gordon B. Mills
Bayesian Anal. 9 (2), 307-330, (June 2014) DOI: 10.1214/13-BA857
KEYWORDS: nonparametric Bayes, Dirichlet process, Two-parameter Poisson-Dirichlet process, local mass, prior misspecification, clustering
Ruitao Liu, Arijit Chakrabarti, Tapas Samanta, Jayanta K. Ghosh, Malay Ghosh
Bayesian Anal. 9 (2), 331-370, (June 2014) DOI: 10.1214/14-BA862
KEYWORDS: α-divergences, Jeffreys prior, reference prior
Xin-Yuan Song, Jing-Heng Cai, Xiang-Nan Feng, Xue-Jun Jiang
Bayesian Anal. 9 (2), 371-396, (June 2014) DOI: 10.1214/14-BA865
KEYWORDS: nonlinear time series, Autoregressive heteroscedastic models, Bayesian P-splines, MCMC methods, Bayes factor
Yu Ryan Yue, Daniel Simpson, Finn Lindgren, Håvard Rue
Bayesian Anal. 9 (2), 397-424, (June 2014) DOI: 10.1214/13-BA866
KEYWORDS: adaptive smoothing, Markov chain Monte Carlo, smoothing spline, Stochastic differential equation
Jaakko Riihimäki, Aki Vehtari
Bayesian Anal. 9 (2), 425-448, (June 2014) DOI: 10.1214/14-BA872
KEYWORDS: Gaussian process, logistic transformation, Density estimation, density regression, approximate inference, Laplace’s method
Fei Liu, Sounak Chakraborty, Fan Li, Yan Liu, Aurelie C. Lozano
Bayesian Anal. 9 (2), 449-474, (June 2014) DOI: 10.1214/14-BA860
KEYWORDS: Bayesian analysis, Elastic net, grouping, Lasso, OSCAR, regularization, Ridge regression, Variable selection
Catia Scricciolo
Bayesian Anal. 9 (2), 475-520, (June 2014) DOI: 10.1214/14-BA863
KEYWORDS: Adaptation, Nonparametric density estimation, normalized inverse-Gaussian process, Pitman-Yor process, Posterior contraction rate, sinc kernel
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