Please use this identifier to cite or link to this item:
http://repositorio.ufla.br/jspui/handle/1/38189
Title: | Abordagem bayesiana da sensitividade de modelos para o coeficiente de endogamia |
Other Titles: | Bayesian approach to sensitivity of models for inbreeding coefficient |
Keywords: | Fator de Bayes Desequilíbrio de Hardy-Weinberg Simulação de dados Bayes factor Hardy-Weinberg disequilibrium Data simulation |
Issue Date: | Sep-2009 |
Publisher: | Universidade Federal de Santa Maria |
Citation: | REIS, R. L. dos; MUNIZ, J. A.; SILVA, F. F.; SÁFADI, T.; AQUINO, L. H. de. Abordagem bayesiana da sensitividade de modelos para o coeficiente de endogamia. Ciência Rural, Santa Maria, v. 39, n. 6, p. 1752-1759, set. 2009. |
Abstract: | The aim of this research is to perform a Bayesian characterization of the Hardy-Weinberg disequilibrium through the Bayes factor. The methodology is tested by using both simulation study and actual data. It was used the following priors for the Bayesian models: Dirichlet (model 1), beta - step uniform function (model 2), uniform - step uniform function (model 3) and independent uniforms for the inbreeding coefficients and allele frequencies (model 4). Metropolis-Hasting algorithms were implemented using the software R to simulate multiple draws from the posterior distribution. Convergence of the Metropolis-Hasting algorithms was assessed by many methods available at R package BOA. Results showed that the model 1 presents the best performance for both simulation study and actual data. The results also showed that the Bayesian approach provides models that are useful for the analysis of the Hardy-Weinberg disequilibrium and inbreeding coefficient. |
URI: | http://repositorio.ufla.br/jspui/handle/1/38189 |
Appears in Collections: | DEX - Artigos publicados em periódicos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ARTIGO_Abordagem bayesiana da sensitividade de modelos para o coeficiente de endogamia.pdf | 124,83 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License