Bayes' Rule With R: A Tutorial Introduction to Bayesian Analysis- James V. Stone

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Libro en perfecto estado y poco leído. La tapa no tiene desperfectos y si procede, con sobrecubierta para las tapas duras. Incluye todas las páginas sin arrugas ni roturas. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección. Ver todas las definiciones de estadose abre en una nueva ventana o pestaña
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“Like new item with no factory packaging.”
location
OF111
ISBN
9780993367946
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Product Identifiers

Publisher
Sebtel Press
ISBN-10
0993367941
ISBN-13
9780993367946
eBay Product ID (ePID)
238015047

Product Key Features

Language
English
Publication Name
Bayes' Rule with R : a Tutorial Introduction to Bayesian Analysis
Subject
Probability & Statistics / Bayesian Analysis
Publication Year
2016
Type
Textbook
Author
James V. Stone
Subject Area
Mathematics
Format
Trade Paperback

Dimensions

Item Height
0.4 in
Item Weight
9 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
Trade
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. The author deserves a praise for bringing out some of the main principles of Bayesian inference using just visuals and plain English. Certainly a nice intro book that can be read by any newbie to Bayes. -Bayes' Rule explains in a very easy to follow manner the basics of Bayesian analysis.- Dr Inigo Arregui, Ramon y Cajal Researcher, Institute of Astrophysics, Spain. -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.
Illustrated
Yes
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 R (3.2) code snippets, which reproduce key numerical results and diagrams.

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