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Accession Number:
ADP007171
Title:
Probabilities on Complex Pedigrees; the Gibbs Sampler Approach,
Corporate Author:
WASHINGTON UNIV SEATTLE DEPT OF STATISTICS
Report Date:
1992-01-01
Abstract:
The analysis of complex familial traits requires the computation of likelihoods for complex genetic models on extended andor complex pedigrees. This challenge has defeated conventional computational algorithms, but the pedigree Gibbs sampler provides an effective method of Monte Carlo evaluation of the required probabilities and likelihood ratio functions. Genetic models Complex pedigrees Conditional independence structure. Monte Carlo summation Importance sampling Gibbs sampler.
Supplementary Note:
This article is from 'Computing Science and Statistics: Proceedings of the Symposium on Interface Critical Applications of Scientific Computing (23rd): Biology, Engineering, Medicine, Speech Held in Seattle, Washington on 21-24 April 1991,' AD-A252 938, p371-378.
Pages:
0008
File Size:
0.00MB
