Bayesian ordinal and binary regression models with a parametric family of mixture links

DOI10.1016/S0167-9473(99)00007-9zbMath0935.62029MaRDI QIDQ1960472

Joseph B. Lang

Publication date: 12 January 2000

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Markov chain Monte Carlologistic regressionMetropolis-Hastings algorithmmixture distributionordinal datacategorical datatolerance distributioncumulative link modelLD50predictive posterior distribution

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)

Related Items

Bayesian model choice in cumulative link ordinal regression models, The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion), Robust designs for multinomial models, On generalized multinomial models and joint percentile estimation, Bayesian clustering for row effects models, Bayesian variable and link determination for generalised linear models

Uses Software

• BayesDA

Cites Work

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• Bayesian inference of binary regression models with parametric link
• Markov chains for exploring posterior distributions. (With discussion)
• On the small sample properties of norm-restricted maximum likelihood estimators for logistic regression models
• Sampling-Based Approaches to Calculating Marginal Densities
• Goodness-of-link testing in ordinal regression models
• Orthogonalizing parametric link transformation families in binary regression analysis
• Norm restricted maximum likelihood estimators for binary regression models with parametric link