%0 Conference Proceedings
%9 ACTI : Communications avec actes dans un congrès international
%A Kouwaye, B.T.
%A Fonton, N.H.
%A Rossi, F.
%A Cottrell, Gilles
%A Hounkonnou, M.
%T Variables selection by the LASSO method : application to malaria data of Tori-Bossito (Benin)
%C Cotonou
%D 2013
%L fdi:010067309
%G ENG
%I ICMPA
%K PALUDISME ; VECTEUR ; REPARTITION GEOGRAPHIQUE ; CLIMAT ; GEOSTATISTIQUE ; REGRESSION
%K MODELE PREDICTIF
%K BENIN
%P 10  multigr.
%U https://www.documentation.ird.fr/hor/fdi:010067309
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers16-08/010067309.pdf
%W Horizon (IRD)
%X 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.
%B COPROMATH : Workshop on Contemporary Problems in Mathematical Physics
%8 2013
%$ 052ANOPAL02 ; 020STAT02