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                                       Details for article 5 of 15 found articles
 
 
  An index sampling algorithm for the bayesian analysis of a class of model selection problems
 
 
Title: An index sampling algorithm for the bayesian analysis of a class of model selection problems
Author: Guttman, Irwin
Scollnik, David P.M
Appeared in: Communications in statistics
Paging: Volume 23 (1994) nr. 2 pages 323-339
Year: 1994
Contents: In this paper, we present an application of the Gibbs sampler yielding an algorithm which facilitates the Bayesian analysis of a class of data partitioning or model selection problems. The resulting index sampling algorithm is applied to a univariate mean-shift outlier model for the purpose of illustration.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 15 found articles
 
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