ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Mathematics

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan

| £74.95 | €84.29 | Ca$121.60 | Au$120.00
by John Kruschke
What is this?DRM-EPUB by download  |  $89.95
What is this?DRM-PDF by download  |  $89.95
add to wish list
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan by John Kruschke

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. Included are step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs. This book is intended for first-year graduate students or advanced undergraduates. It provides a bridge between undergraduate training and modern Bayesian methods for data analysis, which is becoming the accepted research standard. Knowledge of algebra and basic calculus is a prerequisite.

New to this Edition (partial list):To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 651184

Ebook Details
Pages: 776
Size: 22.3 MB
Publisher: Academic Press
Date published:   2014
ISBN: 2370006330851 (DRM-EPUB)
9780124059160 (DRM-PDF)

DRM Settings
Read Aloud:  not allowed

This product is listed in the following category:

Nonfiction > Mathematics

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

© 2016