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Focusing on mathematical logic, this comprehensive textbook delves into the widely applicable information criterion (WAIC) and the Bayesian information criterion (WBIC). It offers a blend of theoretical insights and practical programming experience in Python and Stan, making it ideal for data scientists and researchers. Readers will enhance their model selection skills and explore the latest advancements in Bayesian statistics, all while gaining a solid understanding of Watanabe Bayesian Theory.
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WAIC and WBIC with Python Stan, Joe Suzuki
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- 2023
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