Subsampling Versus Bootstrapping in Resampling-Based Model Selection for Multivariable Regression
Subsampling Versus Bootstrapping in Resampling-Based Model Selection for Multivariable Regression
Summary In recent years, increasing attention has been devoted to the problem of the stability of multivariable regression models, understood as the resistance of the model to small changes in the data on which it has been fitted. Resampling techniques, mainly based on the bootstrap, have been developed to address …