Nonparametric prior elicitation for a binomial proportion

DOI10.1080/03610918.2019.1702210zbMath1489.62116OpenAlexW2995537296WikidataQ126559793 ScholiaQ126559793MaRDI QIDQ5866123

Yongku Kim, Jung In Seo

Publication date: 13 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1702210

zbMATH Keywords

Dirichlet process mixturenonparametric priorbinomial proportionblocked Gibbs sampling

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Density estimation (62G07) Bayesian inference (62F15)

Cites Work

• Unnamed Item
• Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors
• A semiparametric Bayesian model for randomised block designs
• Bayesian density estimation using bernstein polynomials
• Bayesian Model Selection in Finite Mixtures by Marginal Density Decompositions
• Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
• Gibbs Sampling Methods for Stick-Breaking Priors
• Bayesian Density Estimation and Inference Using Mixtures
• Random Bernstein Polynomials

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