Variable selection in multiple regression with random design

Autor: Mbina, Alban Mbina, Nkiet, Guy Martial, Nguessan, Assi
Rok vydání: 2015
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv