Search Results for author: Noël Fonton

Found 2 papers, 0 papers with code

Lasso based feature selection for malaria risk exposure prediction

no code implementations4 Nov 2015 Bienvenue Kouwayè, Noël Fonton, Fabrice Rossi

In life sciences, the experts generally use empirical knowledge to recode variables, choose interactions and perform selection by classical approach.

feature selection Malaria Risk Exposure Prediction

Sélection de variables par le GLM-Lasso pour la prédiction du risque palustre

no code implementations9 Sep 2015 Bienvenue Kouwayè, Noël Fonton, Fabrice Rossi

Because the target variable is account variable and the lasso estimators are biased, variables selected by lasso are debiased by a GLM and used to predict the distribution of the main vector of malaria which is Anopheles.

Epidemiology Variable Selection

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