Bayesian analysis of the heterogeneity model

Frühwirth-Schnatter, Sylvia and Tüchler, Regina and Otter, Thomas (2002) Bayesian analysis of the heterogeneity model. Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 72. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.


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In the present paper we consider Bayesian estimation of a finite mixture of models with random effects which is also known as the heterogeneity model. First, we discuss the properties of various MCMC samplers that are obtained from full conditional Gibbs sampling by grouping and collapsing. Whereas full conditional Gibbs sampling turns out to be sensitive to the parameterization chosen for the mean structure of the model, the alternative sampler is robust in this respect. However, the logical extension of the approach to the sampling of the group variances does not further increase the efficiency of the sampler. Second, we deal with the identifiability problem due to the arbitrary labeling within the model. Finally, a case study involving metric Conjoint analysis serves as a practical illustration. (author's abstract)

Item Type: Paper
Keywords: Bayes-Verfahren / Markov-Ketten-Monte-Carlo-Verfahren / Gibbs-sampling
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes
Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Departments > Marketing > Service Marketing und Tourismus
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Depositing User: Repository Administrator
Date Deposited: 20 Jan 2003 13:53
Last Modified: 22 Oct 2019 00:41


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