Bayesian nonparametric methods for data from a unimodal density

DOI10.1016/0167-7152(92)90021-VzbMath0806.62038MaRDI QIDQ1340892

Lawrence J. Brunner

Publication date: 12 February 1995

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

posterior distributionmixture modelDirichlet process priormarginal posterior distributionposterior expectationunimodal density

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Nonparametric inference (62G99)

Related Items

Rates and coverage for monotone densities using projection-posterior ⋮ Usage of a pair of \(\mathbf S\)-paths in Bayesian estimation of a unimodal density ⋮ Adaptive-modal Bayesian nonparametric regression ⋮ On Bayes inference for a bathtub failure rate via S-paths ⋮ Bayesian Semiparametric Modelling in Quantile Regression ⋮ Bayesian mode regression using mixtures of triangular densities ⋮ Bayesian semiparametric modeling and inference with mixtures of~symmetric distributions ⋮ Nonparametric Bayes inference for concave distribution functions ⋮ Bayesian linear regression with error terms that have symmetric unimod al densities ⋮ Nonparametric Bayesian survival analysis using mixtures of Weibull distributions

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On a class of Bayesian nonparametric estimates: I. Density estimates
• Bayes methods for a symmetric unimodal density and its mode
• The geometry of mixture likelihoods: A general theory
• On the consistency of Bayes estimates
• A Bayesian nonparametric approach to reliability
• A Bayesian analysis of some nonparametric problems