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Suzuki, Joe

Joe Suzuki is a professor of statistics at Osaka University, Japan. 
WAIC and WBIC with Python Stan</a>

WAIC and WBIC with Python Stan

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion.

WAIC and WBIC with Python Stan</a>

WAIC and WBIC with Python Stan

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion.