The hierarchical Tobit model: A case study in Bayesian computing

DOI10.1007/BF01719471zbMath0797.62023OpenAlexW2021636013MaRDI QIDQ1331807

Wolfgang Polasek, Andreas Krause

Publication date: 25 October 1994

Published in: OR Spektrum (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01719471

zbMATH Keywords

EM algorithmGibbs samplerdata augmentationhierarchical modelscensored regression modelsexpectation-maximisationBayesian Tobit modelplant reproduction

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Probabilistic methods, stochastic differential equations (65C99)

Related Items (1)

The hierarchical Tobit model: A case study in Bayesian computing

Cites Work

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• Estimation of Relationships for Limited Dependent Variables
• Bayesian analysis of dichotomous quantal response models
• Bayes inference in the Tobit censored regression model
• The hierarchical Tobit model: A case study in Bayesian computing
• Markov chains for exploring posterior distributions. (With discussion)
• Sampling-Based Approaches to Calculating Marginal Densities
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• The Calculation of Posterior Distributions by Data Augmentation

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