Variables selection by the LASSO method. Application to malaria data of Tori-Bossito (Benin)

Abstract : This work deals with prediction of anopheles number using environmental and climate variables. The variables selection is performed by GLMM (Generalized linear mixed model) combined with the Lasso method and simple cross validation. Selected variables are debiased while the prediction is generated by simple GLMM. Finally, the results reveal to be qualitatively better, at selection, the prediction point of view than those obtained by the reference method.
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https://hal.archives-ouvertes.fr/hal-01352438
Contributor : Bienvenue Kouwaye <>
Submitted on : Monday, August 8, 2016 - 12:30:46 AM
Last modification on : Friday, May 10, 2019 - 10:00:06 AM
Long-term archiving on : Wednesday, November 9, 2016 - 12:17:17 PM

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  • HAL Id : hal-01352438, version 1

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Bienvenue Kouwaye, Noël Fonton, Fabrice Rossi, Gilles Cottrell, Norbert Mahouton Hounkonnou. Variables selection by the LASSO method. Application to malaria data of Tori-Bossito (Benin). 2016. ⟨hal-01352438⟩

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