Joint Bayesian variable and graph selection for regression models with network-structured predictors
نویسندگان
چکیده
منابع مشابه
Joint Bayesian variable and graph selection for regression models with network-structured predictors.
In this work, we develop a Bayesian approach to perform selection of predictors that are linked within a network. We achieve this by combining a sparse regression model relating the predictors to a response variable with a graphical model describing conditional dependencies among the predictors. The proposed method is well-suited for genomic applications because it allows the identification of ...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2015
ISSN: 0277-6715
DOI: 10.1002/sim.6792