An Introduction to Applied Bayesian Methods

By Michael Escobar

Bayesian Computational methods have seen rapid growth in the past decade and these methods are now being used in an expanding number of different areas, such as medicine, psychology, sociology and education. Individuals who use statistics and data analysis in their everyday work, but who do not have high level mathematical skills and now need to interpret the results of Bayesian data analysis will find that this text addresses their needs exactly. Escobar presents basic Bayesian inference, Markov chains, basic computational methods and modeling in a non-mathematical style. Each chapter explains relevant techniques, illustrates the method with worked examples, and provides a list of important references and suggestions for further reading.

• Format: Paperback
• Language: English
• ISBN: 0340808594
• ISBN13: 9780340808597
• Release Date: November 2099
• Publisher: Hodder Education Publishers
• Length: 320 Pages
• Weight: 0.01 lbs.
• Dimensions: 0.1" x 0.1" x 0.1"