Comparing Variable Selection and Model Averaging Methods for Logistic Regression

Nikola Sekulovski, František Bartoš, Don van den Bergh +6

Model uncertainty is a central challenge in statistical models for binary outcomes such as logistic regression, arising when it is unclear which predictors should be included in th…