Predicción y selección de variables con bosques aleatorios en presencia de variables correlacionadas

This thesis addresses the problem of variable selection using the random forest method when the underlying model for the response variable is linear. To this end, simulated data sets with di_erent characteristics are con_gured and then, the methodology applied, and the prediction error measured each...