Statistical model choice including variable selection based on variable importance: A relevant way for biomarkers selection to predict meat tenderness

In this paper, we describe a new computational methodology to select the best regression model to predict a numerical variable of interest Y and to select simultaneously the most interesting numerical explanatory variables strongly linked to Y. Three regression models (parametric, semi-parametric an... View More