Predicting local malaria exposure using a Lasso-based two-level cross validation algorithm.

Predicting local malaria exposure using a Lasso-based two-level cross validation algorithm.

Recent studies have highlighted the importance of local environmental factors to determine the fine-scale heterogeneity of malaria transmission and exposure to the vector. In this work, we compare a classical GLM model with backward selection with different versions of an automatic LASSO-based algor...

Full description

Bibliographic Details
Main Authors: Bienvenue Kouwaye, Fabrice Rossi, Noël Fonton, André Garcia, Simplice Dossou-Gbété, Mahouton Norbert Hounkonnou, Gilles Cottrell
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5663424?pdf=render

Internet

http://europepmc.org/articles/PMC5663424?pdf=render

Similar Items