Model Evaluation and Its Discontents

Statistical models enable scientists to describe data, explain phenomena, form testable predictions, and (ideally) understand the world. To achieve such aims, a model and its components must undergo thorough evaluation. In this symposium, we confront the widely accepted methods of model evaluation, expose their limitations, and explore more insightful alternatives.