Applied Bayesian Hierarchical Methods

Applied Bayesian Hierarchical Methods
Author :
Publisher : CRC Press
Total Pages : 606
Release :
ISBN-10 : 9781584887218
ISBN-13 : 1584887214
Rating : 4/5 (18 Downloads)

Book Synopsis Applied Bayesian Hierarchical Methods by : Peter D. Congdon

Download or read book Applied Bayesian Hierarchical Methods written by Peter D. Congdon and published by CRC Press. This book was released on 2010-05-19 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods demonstrates the advantages of a Bayesian approach


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Partitioning around medoids (Program PAM). Clustering large applications (Program CLARA). Fuzzy analysis (Program FANNY). Agglomerative Nesting (Program AGNES).