Bayesian LASSO, scale space and decision making in association genetics.

BACKGROUND:LASSO is a penalized regression method that facilitates model fitting in situations where there are as many, or even more explanatory variables than observations, and only a few variables are relevant in explaining the data. We focus on the Bayesian version of LASSO and consider four prob...

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Bibliographic Details
Main Authors: Leena Pasanen, Lasse Holmström, Mikko J Sillanpää
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4391919?pdf=render