Model Comparison and the Principle of Parsimony
Joachim Vandekerckhove, Dóra Matzke, Eric‐Jan Wagenmakers · Oxford University Press eBooks · 2015
According to the principle of parsimony, model selection methods should value both descriptive accuracy and simplicity. Here we focus primarily on Bayes factors and minimum description length, explaining how these procedures strike a balance between goodness-of-fit and parsimony. Throughout, we demonstrate the methods with an application on false memory, evaluating three competing multimonial proces tree models of interference in memory.