VOL. 11 · NO. 3 | September 2016
Bayesian Anal. 11 (3), (September 2016)
No abstract available
Bayesian Anal. 11 (3), (September 2016)
No abstract available
Peter D. Hoff
Bayesian Anal. 11 (3), 627-648, (September 2016) DOI: 10.1214/14-BA934
KEYWORDS: factor analysis, rank likelihood, Social network, tensor, Tucker product
Jingjing Yang, Hongxiao Zhu, Taeryon Choi, Dennis D. Cox
Bayesian Anal. 11 (3), 649-670, (September 2016) DOI: 10.1214/15-BA967
KEYWORDS: functional data, smoothing, Bayesian hierarchical model, Gaussian process, Matérn covariance function, Empirical Bayes
Alen Alexanderian, Philip J. Gloor, Omar Ghattas
Bayesian Anal. 11 (3), 671-695, (September 2016) DOI: 10.1214/15-BA969
KEYWORDS: Bayesian inference in Hilbert space, Gaussian measure, Kullback–Leibler divergence, Bayesian optimal experimental design, expected information gain, Bayes risk
S. Favaro, A. Lijoi, C. Nava, B. Nipoti, I. Prünster, Y. W. Teh
Bayesian Anal. 11 (3), 697-724, (September 2016) DOI: 10.1214/15-BA964
KEYWORDS: Bayesian nonparametrics, generalized Dirichlet process, normalized generalized gamma process, normalized random measures with independent increments, normalized stable process, normalized inverse-Gaussian process, random probability measure, stick-breaking representation
A. Philip Dawid, Monica Musio, Stephen E. Fienberg
Bayesian Anal. 11 (3), 725-752, (September 2016) DOI: 10.1214/15-BA968
KEYWORDS: benfluorex, causes of effects, counterfactual, child protection, effects of causes, Fréchet bound, potential outcome, probability of causation
Prasenjit Ghosh, Xueying Tang, Malay Ghosh, Arijit Chakrabarti
Bayesian Anal. 11 (3), 753-796, (September 2016) DOI: 10.1214/15-BA973
KEYWORDS: asymptotic optimality, Bayes oracle, Empirical Bayes, generalized double Pareto, three parameter beta, horseshoe, normal–exponential–gamma, Strawderman–Berger, 62C10, 62C10
Tony Pourmohamad, Herbert K. H. Lee
Bayesian Anal. 11 (3), 797-820, (September 2016) DOI: 10.1214/15-BA976
KEYWORDS: Gaussian process, particle learning, Bayesian statistics, constrained optimization, computer simulation experiment
Ruibin Xi, Yunxiao Li, Yiming Hu
Bayesian Anal. 11 (3), 821-855, (September 2016) DOI: 10.1214/15-BA975
KEYWORDS: Model selection, Gibbs sampler, oracle property, empirical process, consistency
Caitríona M. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
Bayesian Anal. 11 (3), 857-883, (September 2016) DOI: 10.1214/15-BA977
KEYWORDS: Approximate Bayesian Computation, auxiliary model, Bayesian experimental design, Indirect inference, Markov chain Monte Carlo, Markov processes
Matthew T. Pratola
Bayesian Anal. 11 (3), 885-911, (September 2016) DOI: 10.1214/16-BA999
KEYWORDS: Markov chain Monte Carlo, proposal distribution, computer experiments, uncertainty quantification, credible interval, coverage probability
Robert B. Gramacy
Bayesian Anal. 11 (3), 913-919, (September 2016) DOI: 10.1214/16-BA999A
No abstract available
Christopher M. Hans
Bayesian Anal. 11 (3), 921-927, (September 2016) DOI: 10.1214/16-BA999B
No abstract available
Oksana A. Chkrebtii, Rafael B. Stern, Francisco Louzada, Scotland Leman, Andrew Hoegh, Reihaneh Entezari, Radu V. Craiu, Jeffrey S. Rosenthal, Abdolreza Mohammadi, Maurits Kaptein, Luca Martino
Bayesian Anal. 11 (3), 929-943, (September 2016) DOI: 10.1214/16-BA999H
KEYWORDS: population Markov chain Monte Carlo, Model selection, Bayesian treed regression, Bayesian Regression Trees (BART), big data, communication-free, Markov chain Monte Carlo (MCMC), Markov chain Monte Carlo, Birth–death process, continuous time Markov process, Bayesian regression tree, Bayesian regression tree (BRT) models, Markov chain Monte Carlo (MCMC), Multiple Try Metropolis algorithms, Sequential Monte Carlo methods
No abstract available
Matthew T. Pratola
Bayesian Anal. 11 (3), 945-955, (September 2016) DOI: 10.1214/16-BA999REJ
No abstract available
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