Joe Suzuki
WAIC and WBIC with R Stan: 100 Exercises for Building Logic
WAIC and WBIC with R Stan: 100 Exercises for Building Logic
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- More about WAIC and WBIC with R Stan: 100 Exercises for Building Logic
This comprehensive textbook provides a clear and self-contained writing style, 100 exercises with solutions, and a comprehensive guide to Sumio Watanabes groundbreaking Bayes theory, making it an essential resource for data scientists and researchers. It also includes detailed source programs and Stan codes to enhance readers' grasp of the mathematical concepts presented.
Format: Paperback / softback
Length: 239 pages
Publication date: 25 October 2023
Publisher: Springer Verlag, Singapore
Mastering machine learning and data science requires a deep understanding of mathematical logic, and this comprehensive textbook is the perfect guide. It focuses on the widely applicable information criterion (WAIC) and the widely applicable Bayesian information criterion (WBIC), also known as the Watanabe-Akaike information criterion and the Watanabe Bayesian information criterion, respectively. With its clear and self-contained writing style, 100 carefully selected exercises accompanied by solutions in the main text, and comprehensive guide to Sumio Watanabes groundbreaking Bayes theory, this book is designed to help readers of various levels of expertise gain a firm grasp of Watanabe Bayesian Theory.
One of the key features of this textbook is its detailed source programs and Stan codes, which will enhance readers' grasp of the mathematical concepts presented. These programs and codes provide a hands-on experience with programming in R and Stan, allowing readers to apply their knowledge to real-world problems.
Another important aspect of this book is its streamlined approach to algebraic geometry topics in Chapter 6. By breaking down complex concepts into manageable steps, the book makes Bayes theory more accessible and less daunting for readers.
Whether you are 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.
In conclusion, this textbook is an essential resource for anyone interested in mastering machine learning and data science. With its clear and self-contained writing style, 100 carefully selected exercises accompanied by solutions in the main text, and comprehensive guide to Sumio Watanabes groundbreaking Bayes theory, this book is designed to help readers of various levels of expertise gain a firm grasp of Watanabe Bayesian Theory. So why wait? Embark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!
Dimension: 235 x 155 (mm)
ISBN-13: 9789819938377
Edition number: 1st ed. 2023
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