First book to synthesize the research and practice from the active field of model selection.

Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. Th

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information