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Details for article 2 of 16 found articles
| Title: |
A MCMC algorithm to fit a general exchangeable model |
| Author: |
Albert, Jim |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 25 (1996) nr. 3 pages 573-592 |
| Year: |
1996 |
| Contents: |
Consider the exchangeable Bayesian hierarchical model where observations yi are independently distributed from sampling densities with unknown means, the means µi, are a random sample from a distribution g, and the parameters of g are assigned a known distribution h. A simple algorithm is presented for summarizing the posterior distribution based on Gibbs sampling and the Metropolis algorithm. The software program Matlab is used to implement the algorithm and provide a graphical output analysis. An binomial example is used to illustrate the flexibility of modeling possible using this algorithm. Methods of model checking and extensions to hierarchical regression modeling are discussed. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 16 found articles
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