Applied Bayesian Hierarchical Methods
Download or Read eBook Applied Bayesian Hierarchical Methods PDF 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.
| Author | : Peter D. Congdon |
| Publisher | : CRC Press |
| Total Pages | : 606 |
| Release | : 2010-05-19 |
| ISBN-10 | : 9781584887218 |
| ISBN-13 | : 1584887214 |
| Rating | : 4/5 (18 Downloads) |
Book Synopsis Applied Bayesian Hierarchical Methods by : Peter D. Congdon
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
