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Modeling variability order: A semiparametric Bayesian approach

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Publication:1610846
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DOI10.1023/A:1015420304825zbMath1011.62031OpenAlexW1603002497MaRDI QIDQ1610846

Alan E. Gelfand, Athanasios Kottas

Publication date: 20 August 2002

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1015420304825


zbMATH Keywords

Markov chain Monte Carlosign changesDirichlet process mixingdispersion ordering


Mathematics Subject Classification ID

Inequalities; stochastic orderings (60E15) Nonparametric estimation (62G05) Bayesian inference (62F15)


Related Items (4)

A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models ⋮ Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis ⋮ Modelling Stochastic Order in the Analysis of Receiver Operating Characteristic Data: Bayesian Non-Parametric Approaches ⋮ Parametric and nonparametric Bayesian model specification: a case study involving models for count data







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