Description: 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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EAN: 9780993367939
UPC: 9780993367939
ISBN: 9780993367939
MPN: N/A
Number of Pages: 176 Pages
Language: English
Publication Name: Bayes' Rule with Python : a Tutorial Introduction to Bayesian Analysis
Publisher: Sebtel Press
Item Height: 0.4 in
Publication Year: 2016
Subject: Programming Languages / Python, Probability & Statistics / Bayesian Analysis
Item Weight: 9.1 Oz
Type: Textbook
Author: James V. Stone
Subject Area: Mathematics, Computers
Item Length: 9 in
Item Width: 6 in
Format: Trade Paperback
