| 书目名称 | WAIC and WBIC with Python Stan | | 副标题 | 100 Exercises for Bu | | 编辑 | Joe Suzuki | | 视频video | | | 概述 | Focuses on widely applicable information criterion (WAIC) & widely applicable Bayesian information criterion (WBIC).Presents 100 carefully selected exercises accompanied by solutions in the main text. | | 图书封面 |  | | 描述 | 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. The book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in Python and Stan. Whether you’re a data scientist looking to refine your model selection process or a researcher who wants to explore the latest developments in Bayesian statistics, this accessible guide will give you a firm grasp of Watanabe Bayesian Theory..The key features of this indispensable book include:.A clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise..100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension..A comprehensive guide to Sumio Watanabe’s groundbreaking Bayes theory, demystifying a subject onc | | 出版日期 | Textbook 2023 | | 关键词 | Watanabe Bayesian Theory; Statistics; WAIC; Watanabe-Akaike Information Criterion; WBIC; Watanabe Bayesia | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-3841-4 | | isbn_softcover | 978-981-99-3840-7 | | isbn_ebook | 978-981-99-3841-4 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 19:27:40
