Modifying the Schwarz Bayesian Information Criterion to Locate Multiple Interacting Quantitative Trait Loci
نویسندگان
چکیده
منابع مشابه
Modifying the Schwarz Bayesian information criterion to locate multiple interacting quantitative trait loci.
The problem of locating multiple interacting quantitative trait loci (QTL) can be addressed as a multiple regression problem, with marker genotypes being the regressor variables. An important and difficult part in fitting such a regression model is the estimation of the QTL number and respective interactions. Among the many model selection criteria that can be used to estimate the number of reg...
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A modified version (mBIC) of the Bayesian Information Criterion (BIC) has been previously proposed for backcross designs to locate multiple interacting quantitative trait loci. In this article, we extend the method to intercross designs. We also propose two modifications of the mBIC. First we investigate a two-stage procedure in the spirit of empirical Bayes methods involving an adaptive (i.e.,...
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One of the most popular criteria for model selection is the Bayesian Information Criterion (BIC). It is based on an asymptotic approximation using Bayes rule when the sample size tends to infinity and the dimension of the model is fixed. Although it works well in classical applications, it performs less satisfactorily for high dimensional problems, i.e. when the number of regressors is very lar...
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ژورنال
عنوان ژورنال: Genetics
سال: 2004
ISSN: 1943-2631
DOI: 10.1534/genetics.103.021683