Variable selection in multiple regression ...
Type de document :
Pré-publication ou Document de travail
Titre :
Variable selection in multiple regression with random design
Auteur(s) :
Mbina Mbina, Alban [Auteur]
Unité de recherche en mathématiques et informatique [Université des Sciences et Techniques de Masuku] [URMI]
Nkiet, Guy Martial [Auteur]
Unité de recherche en mathématiques et informatique [Université des Sciences et Techniques de Masuku] [URMI]
Nguessan, Assi [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Unité de recherche en mathématiques et informatique [Université des Sciences et Techniques de Masuku] [URMI]
Nkiet, Guy Martial [Auteur]
Unité de recherche en mathématiques et informatique [Université des Sciences et Techniques de Masuku] [URMI]
Nguessan, Assi [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Mot(s)-clé(s) en anglais :
Consistency
Selection criterion
Multiple linear regression
Random design
Variable selection
Selection criterion
Multiple linear regression
Random design
Variable selection
Discipline(s) HAL :
Statistiques [stat]/Théorie [stat.TH]
Résumé en anglais : [en]
We propose a method for variable selection in multiple regression with random predictors. This method is based on a criterion that permits to reduce the variable selection problem to a problem of estimating suitable ...
Lire la suite >We propose a method for variable selection in multiple regression with random predictors. This method is based on a criterion that permits to reduce the variable selection problem to a problem of estimating suitable permutation and dimensionality. Then, estimators for these parameters are proposed and the resulting method for selecting variables is shown to be consistent. A simulation study that permits to gain understanding of the performances of the proposed approach and to compare it with an existing method is given.Lire moins >
Lire la suite >We propose a method for variable selection in multiple regression with random predictors. This method is based on a criterion that permits to reduce the variable selection problem to a problem of estimating suitable permutation and dimensionality. Then, estimators for these parameters are proposed and the resulting method for selecting variables is shown to be consistent. A simulation study that permits to gain understanding of the performances of the proposed approach and to compare it with an existing method is given.Lire moins >
Langue :
Anglais
Collections :
Source :
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- selectmultiple_arxiv.pdf
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- 1506.08022
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