Model averaging addresses the challenge of model uncertainty by combining estimates from multiple candidate models rather than relying on a single selected specification. By assigning weights to each ...
Two major goals in the study of biological systems are inference and prediction. Inference creates a mathematical model of the data-generation process to formalize understanding or test a hypothesis ...