About this product

Product Identifiers

PublisherSebtel Press

ISBN-100993367933

ISBN-139780993367939

eBay Product ID (ePID)247211965

Product Key Features

Number of Pages176 Pages

Publication NameBayes' Rule with Python : a Tutorial Introduction to Bayesian Analysis

LanguageEnglish

SubjectProgramming Languages / Python, Probability & Statistics / Bayesian Analysis

Publication Year2016

TypeTextbook

Subject AreaMathematics, Computers

AuthorJames V. Stone

FormatTrade Paperback

Dimensions

Item Height0.4 in

Item Weight9.1 Oz

Item Length9 in

Item Width6 in

Additional Product Features

Intended AudienceTrade

Dewey Edition23

Reviews"An accessible introduction to Bayesian analysis for those with little mathematical experience." Journal of the Royal Statistical Society, 2015. "An excellent book ... highly recommended. " CHOICE: Academic Reviews Online, February 2014. "Short, interesting, and very easy to read, Bayes' Rule serves as an excellent primer for students and professionals ... " Top Ten Math Books On Bayesian Analysis, July 2014. "An excellent first step for readers with little background in the topic. " Computing Reviews, June 2014. "A crackingly clear tutorial for beginners. Exactly the sort of book required for those taking their first steps in Bayesian analysis." Dr Paul A. Warren. School of Psychological Sciences, University of Manchester. "This book is short and eminently readable. It introduces the Bayesian approach to addressing statistical issues without using any advanced mathematics, which should make it accessible to students from a wide range of backgrounds, including biological and social sciences." Dr Devinder Sivia. Lecturer in Mathematics, St John's College, Oxford University, and author of Data Analysis: A Bayesian Tutorial. "For those with a limited mathematical background, Stone's book provides an ideal introduction to the main concepts of Bayesian analysis. " Dr Peter M Lee. Department of Mathematics, University of York. Author of Bayesian Statistics: An Introduction. "Bayesian analysis involves concepts which can be hard for the uninitiated to grasp. Stone's patient pedagogy and gentle examples convey these concepts with uncommon lucidity. " Dr Charles Fox. Department of Computer Science, University of Sheffield.

IllustratedYes

Dewey Decimal519.542

SynopsisIn 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., 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.

LC Classification NumberQA279.5.S7 2015