Volume 4.
(as bibtex)
65 references.
Articles

135. Hierarchical model building, fitting, and checking: a behindthescenes look at a
Bayesian analysis of arsenic exposure pathways
Calder, Catherine A.,
Cressie, Noel,
Paul, Rajib,
Li, Hongfei,
Craigmile, Peter F.

136. Hierarchical model building, fitting, and checking: A behindthescenes look at a Bayesian analysis of arsenic exposure pathways (Pkg: p162)
Craigmile, Peter F.,
Calder, Catherine A.,
Li, Hongfei,
Paul, Rajib,
Cressie, Noel

119150. Modularization in Bayesian analysis, which emphasis on analysis of computer models
Liu, F.,
Bayarri, M. J.,
Berger, J. O.

119150. Modularization in Bayesian analysis, with emphasis on analysis of computer
models
Berger, J. O.,
Bayarri, M. J.,
Liu, F.

151158. Posterior predictive arguments in favor of the BayesLaplace prior as the consensus
prior for binomial and multinomial parameters
Mengersen, Kerrie,
Gerlach, Richard,
Tuyl, Frank

151158. Posterior predictive arguments in favor of the BayesLaplace prior as the consensus prior for binomial and multinomial parameters
Tuyl, Frank,
Gerlach, Richard,
Mengersen, Kerrie

159190. A Bayesian approach to estimating the long memory parameter
Holan, Scott,
McElroy, Tucker,
Chakraborty, Sounak

191207. Bayesian generalized method of moments
Yin, Guosheng

191208. Bayesian generalized method of moments (Pkg: p191222)
Yin, Guosheng

209212. Comment on ``Bayesian generalized method of moments'' (Pkg: p191222)
Chen, MingHui,
Kim, Sungduk

209212. Comments on article by Yin
Kim, Sungduk,
Chen, MingHui

213216. Comment on ``Bayesian generalized method of moments'' (Pkg: p191222)
Crainiceanu, Ciprian M.

217222. Reply to comments on ``Bayesian generalized method of moments'' (Pkg: p191222)
Yin, Guosheng

223242. Some Bayesian credibility premium obtained by using posterior regret Γminimax methodology
GomezDeniz, E.,
GómezDéniz, E.

223242. Some Bayesian credibility premiums obtained by using posterior regret
{$\Gamma$}minimax methodology
GómezDéniz, E.

243264. Modal clustering in a class of product partition models
Dahl, David B.

265296. A grade of membership model for rank data
Gormley, Isobel Claire,
Murphy, Thomas Brendan

297316. Spatial mixture modelling for unobserved point processes: Examples in immunofluorescence histology
Ji, Chunlin,
Merl, Daniel,
Kepler, Thomas B.,
West, Mike

297315. Spatial mixture modelling for unobserved point processes: examples in
immunofluorescence histology
Ji, Chunlin,
Merl, Daniel,
West, Mike,
Kepler, Thomas B.

317336. ABC likelihoodfree methods for model choice in Gibbs random fields
Rodolphe, Francois,
Taly, JeanFrancois,
Grelaud, Aude,
Robert, Christian P.,
Marin, JeanMichel,
Rodolphe, François,
Taly, JeanFrançois

337366. Inference in incidence, infection, and impact: Coinfection of multiple hosts by multiple pathogens
Clark, James S.,
Hersh, Michelle H.

337365. Inference in incidence, infection, and impact: coinfection of multiple hosts by
multiple pathogens
Hersh, Michelle H.,
Clark, James S.

367392. Improved criteria for clustering based on the posterior similarity matrix
Fritsch, Arno,
Ickstadt, Katja

3739. Comment on article by Craigmile et al.
Dominici, Francesca,
Barr, Christopher David

3740. Comment on ``Hierarchical model building, fitting, and checking: A behindthescenes look at a Bayesian analysis of arsenic exposure pathways'' (Pkg: p162)
Barr, Christopher David,
Dominici, Francesca

393412. A dynamic modelling strategy for Bayesian Computer model emulation
Liu, Fei,
West, Mike

4144. Comment on ``Hierarchical model building, fitting, and checking: A behindthescenes look at a Bayesian analysis of arsenic exposure pathways'' (Pkg: p162)
Dunson, David B.

413436. A stochastic partitioning method to associate highdimensional responses and covariates (Pkg: p413464)
Monni, Stefano,
Tadesse, Mahlet G.

413436. A stochastic partitioning method to associate highdimensional responses and
covariates
Tadesse, Mahlet G.,
Monni, Stefano

437438. Comment on article by Monni and Tadesse
McCulloch, Robert,
George, Edward,
Chipman, Hugh

437438. Comment on ``A stochastic partitioning method to associate highdimensional responses and covariates'' (Pkg: p413464)
Chipman, Hugh,
George, Edward,
McCulloch, Robert

439448. Comment on ``A stochastic partitioning method to associate highdimensional responses and covariates'' (Pkg: p413464)
Fraley, Chris

449452. Comment on ``A stochastic partitioning method to associate highdimensional responses and covariates'' (Pkg: p413464)
Li, Hongzhe

4554. Comment on ``Hierarchical model building, fitting, and checking: A behindthescenes look at a Bayesian analysis of arsenic exposure pathways'' (Pkg: p162)
Schmidt, Alexandra M.

453456. Comment on ``A stochastic partitioning method to associate highdimensional responses and covariates'' (Pkg: p413464)
Stern, Hal

457464. Reply to comments on ``A stochastic partitioning method to associate highdimensional responses and covariates'' (Pkg: p413464)
Monni, Stefano,
Tadesse, Mahlet G.

465496. Bayesian analysis for emerging infectious diseases
Jewell, Chris P.,
Kypraios, Theodore,
Neal, Peter,
Roberts, Gareth O.

497522. Flexible univariate continuous distributions
Ferreira, Jose T. A. S.,
Quintana, Fernando A.,
Steel, Mark F. J.,
Ferreira, José T. A. S.

523538. Prediction of pregnancy: A joint model for longitudinal and binary data
Horrocks, Julie,
van Den Heuvel, Marianne J.

539572. Efficient utilitybased clustering over high dimensional partition spaces
Liverani, Silvia,
Anderson, Paul E.,
Edwards, Kieron D.,
Millar, Andrew J.,
Smith, Jim Q.

5562. Reply to comments on ``Hierarchical model building, fitting, and checking: A behindthescenes look at a Bayesian analysis of arsenic exposure pathways'' (Pkg: p162)
Craigmile, Peter F.,
Calder, Catherine A.,
Li, Hongfei,
Paul, Rajib,
Cressie, Noel

573598. Nonparametric estimation of the distribution function in contingent valuation models
Leslie, David S.,
Kohn, Robert,
Fiebig, Denzil G.

573597. Nonparametric estimation of the distribution function in contingent valuation
models
Fiebig, Denzil G.,
Kohn, Robert,
Leslie, David S.

599606. New axioms for rigorous Bayesian probability
Dupre, Maurice J.,
Dupré, Maurice J.,
Tipler, Frank J.

607629. Bayes onesample and oneway random effects analyses for 3D orientations with
application to materials science
Nordman, Daniel J.,
Vardeman, Stephen B.,
Bingham, Melissa A.

607630. Bayes onesample and oneway random effects analyses for 3D orientations with application to materials science
Bingham, Melissa A.,
Vardeman, Stephen B.,
Nordman, Daniel J.

6384. Parameter estimation in continuous time Markov switching models: A semicontinuous Markov chain Monte Carlo approach
Sass, Joern,
Sass, Jorn,
Hahn, Markus,
Sass, Jörn

6384. Parameter estimation in continuous time Markov switching models: a semicontinuous
Markov chain Monte Carlo approach
Sass, Jörn,
Hahn, Markus

631652. Hierarchical Bayesian modeling of hitting performance in baseball
Wyner, Abraham J.,
McShane, Blakeley B.,
Jensen, Shane T.

631652. Hierarchical Bayesian modeling of hitting performance in baseball (Pkg: p631674)
Jensen, Shane T.,
McShane, Blakeley B.,
Wyner, Abraham J.

653660. Comment on article by Jensen et al.
Birnbaum, Phil,
Albert, Jim

653660. Comment on ``Hierarchical Bayesian modeling of hitting performance in baseball'' (Pkg: p631674)
Albert, Jim,
Birnbaum, Phil

661664. Comment on ``Hierarchical Bayesian modeling of hitting performance in baseball'' (Pkg: p631674)
Glickman, Mark E.

665668. Comment on ``Hierarchical Bayesian modeling of hitting performance in baseball'' (Pkg: p631674)
Mueller, Peter,
Muller, Peter,
Quintana, Fernando A.,
Müller, Peter

669674. Reply to comments on ``Hierarchical Bayesian modeling of hitting performance in baseball'' (Pkg: p631674)
Jensen, Shane T.,
McShane, Blakeley B.,
Wyner, Abraham J.

675706. Bayesian inference for directional conditionally autoregressive models
Kyung, Minjung,
Ghosh, Sujit K.

707732. Spiked Dirichlet process prior Bayesian multiple hypothesis testing in random effects models
Kim, Sinae,
Dahl, David B.,
Vannucci, Marina

707732. Spiked Dirichlet process prior for Bayesian multiple hypothesis testing in random
effects models
Vannucci, Marina,
Dahl, David B.,
Kim, Sinae

733758. Modeling spacetime data using stochastic differential equations
Duan, Jason A.,
Gelfand, Alan E.,
Sirmans, C. F.

759762. Inconsistent Bayesian estimation
Christensen, Ronald

763792. Sample size calculation for finding unseen species
Zhang, Hongmei,
Stern, Hal

793816. Markov switching Dirichlet process mixture regression
Taddy, Matthew A.,
Kottas, Athanasios

817846. A case for robust Bayesian priors with applications to clinical trials
Fuquene, Jairo A.,
Fúquene, Jairo A.,
Cook, John D.,
Pericchi, Luis R.

847850. Editorinchief's note
Carlin, Bradley P.

85118. A review of Bayesian variable selection methods: What, how and which
Sillanpaeae, M. J.,
Sillanpaa, M. J.,
O'Hara, R. B.,
Sillanpää, M. J.