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WAIC and WBIC with R Stan 100 Exercises for Building Logic /

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 Bayes...

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Bibliografiske detaljer
Hovedforfatter: Suzuki, Joe (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Fag:
Artificial intelligence.
Machine learning.
Computational intelligence.
Artificial intelligence > Data processing.
Artificial Intelligence.
Machine Learning.
Statistical Learning.
Computational Intelligence.
Data Science.
Online adgang:https://doi.org/10.1007/978-981-99-3838-4
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Indholdsfortegnelse:
  • Over view of Watanabe's Bayes
  • Introduction to Watanabe Bayesian Theory
  • MCMC and Stan
  • Mathematical Preparation
  • Regular Statistical Models
  • Information Criteria
  • Algebraic Geometry
  • The Essence of WAOIC
  • WBIC and Its Application to Machine Learning.

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