Titre: Bayes' Rule with Python: A Tutorial Introduction to Bayesian Analysis
�diteur: Sebtel Press
Date de parution: 2016
Langue: anglais
ISBN � 10 chiffres: 0993367933
ISBN � 13 chiffres: 9780993367939
Reliure: Couverture souple
�tat de l'article: Good

A propos de ce titre

Synopsis

Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis.Note that this book includes Python (3.0) code snippets, which reproduce key numerical results and diagrams.

Pr�sentation de l'�diteur

Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this book includes Python (3.0) code snippets, which reproduce key numerical results and diagrams.

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