We study a sparse negative binomial regression (NBR) for count data by showing the non-asymptotic advantages of using the elastic-net estimator. Two types of oracle inequalities are derived for the ...

The following six machine learning models were developed to predict ADH upgrade from core needle biopsy: gradient-boosting trees, random forest, radial support vector machine (SVM), weighted K-nearest ...

This is a preview. Log in through your library . Abstract Objectives There is growing recognition that simultaneously assessing multiple exposures may reduce false positive discoveries and improve ...