genes simultaneously. In microarray data analysis, the comparison of gene-expression profiles with respect to different … distributions of the test statistics. This paper makes two contributions to the analysis of microarray data. The first is the …

genes simultaneously. In microarray data analysis, the comparison of gene-expression profiles with respect to different …

This paper rationalizes the LASSO algorithm based on uncertain fat-tail priors and max-min robust optimization. Our … rationalization excludes heuristic learning or restrictive prior assumptions in the original interpretation of LASSO (Tibshirani (1996 … reasonable range of ambiguous signals but respond linearly to almost unambiguous signals. With this LASSO equivalent strategy …

approached by means of Bayesian model averaging, using the Bayesian interpretation of the LASSO. This is used to generate a set … posterior may turn out to be "thinner" than desired, and bootstrapping of the LASSO is used to increase this population. This …