WAIC and WBIC with R Stan

Focusing on mathematical logic, this textbook delves into the widely applicable information criterion (WAIC) and the Bayesian information criterion (WBIC), providing a thorough understanding of model selection in machine learning and data science. It presents relevant mathematical problems alongside practical programming experience in R and Stan. Ideal for data scientists and researchers, the guide offers insights into the latest developments in Bayesian statistics, ensuring readers gain a solid grasp of Watanabe Bayesian Theory.