Articles liés à WAIC and WBIC with R Stan: 100 Exercises for Building...

WAIC and WBIC with R Stan: 100 Exercises for Building Logic - Couverture souple

Suzuki, Joe

 
9789819938377: WAIC and WBIC with R Stan: 100 Exercises for Building Logic
Couverture souple
ISBN 10 : 9819938376 ISBN 13 : 9789819938377
Editeur : Springer, 2023

Synopsis

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. This book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in R 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:

  1. A clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise.
  2. 100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension.
  3. A comprehensive guide to Sumio Watanabe’s groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians.
  4. Detailed source programs and Stan codes that will enhance readers’ grasp of the mathematical concepts presented.
  5. A streamlined approach to algebraic geometry topics in Chapter 6, making Bayes theory more accessible and less daunting.

Embark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Joe Suzuki is a professor of statistics at Osaka University, Japan.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2023
Langue
anglais
ISBN 10 
9819938376
ISBN 13 
9789819938377
Reliure
Broché
Numéro d'édition
1
Nombre de pages
252
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Allemagne