Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models

5 Dec 2019Burim RamosajMarkus Pauly

Variable selection in sparse regression models is an important task as applications ranging from biomedical research to econometrics have shown. Especially for higher dimensional regression problems, for which the link function between response and covariates cannot be directly detected, the selection of informative variables is challenging... (read more)

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