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Title: Data Analysis: A Bayesian Tutorial
ISBN: 0198568320
Author:
Devinderjit Sivia
John Skilling
Publicate Date: 2006-07-27
Publish: 2006-07-27
List Price: $45.00
Average Customer Rating: 4.0
Format: Paperback
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Amazon Lowest New Price: $30.00
Amazon Lowest Used Price: $43.26
Amazon Merchant Price: $39.33
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| Customer Review: |
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1: good
This book is not really a tutorial for beginners as it goes directly into the subject. It is well written, rigorous, and not that expensive for people needing to learn the bayesian principles. For total beginners as I was, I would advise reading "Introduction to Bayesian Statistics" by Bolstad before this one. A good book on the topic, with good ideas and recent developments !
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2: really a tutorial ?
Hadn't the book be entitled A Bayesian Tutorial, it would rank on the top, 4 to 5 stars, because it provides a unifying view of probability / statistics. Very enlightening. Hence it is the kind of book you _must_ read once you think you know about the Bayesian approach.
However, the title is misleading, this is definitely not what I would call a tutorial: it is quite hard to follow, and the author includes far too few examples that could help.
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3: Very good introduction
This book is a must for those that are introducing themselves in bayesian statistics. It goes very strightforward in to the main topics and the mathematical notation is easy to follow. If you are just beginning I would recommend to read this book before Jaynes' book Probability Theory: The Logic of Science and after William M. Bolstad's Introduction to Bayesian Statistics
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4: In-Depth and Practical
Sivia and Skilling give a concise and clear exposition of Bayesian statistical analysis, and pair it with practical, real examples. It has been a great aid to me in doing actual data work. This text gets the balance of theoretical detail and practicality just right. In particular, abandoning the usual emphasis on analytical solutions and instead pairing real examples with numerical solution algorithms when appropriate, is perfect for someone concerned with applying Bayesian statistical analysis to real problems. A great and genuinely useful book!
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