Posterior analysis of lognormal regression models using the Gibbs sampler

DOI10.1007/S00362-006-0372-1zbMath1146.62020OpenAlexW1963519537MaRDI QIDQ949423

Satyanshu K. Upadhyay, Meena Peshwani

Publication date: 21 October 2008

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-006-0372-1

zbMATH Keywords

predictive simulationchi-square and Kolmogorov-Smirnov discrepancy measureslognormal regression modelposterior and fractional Bayes factorssampling-importance-resampling

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)

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Cites Work

• The Intrinsic Bayes Factor for Model Selection and Prediction
• Applications of a Method for the Efficient Computation of Posterior Distributions
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Accelerated Testing
• Bayesian Measures of Model Complexity and Fit
• Adaptive Rejection Sampling for Gibbs Sampling
• Sequential One-Sample Grouped Signed Rank Tests for Symmetry: Basic Procedures
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