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Data Analysis: A Bayesian Tutorial
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Data Analysis: A Bayesian Tutorial

3.91 of 5 stars 3.91  ·  rating details  ·  43 ratings  ·  6 reviews
Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.
This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basi
Kindle Edition, 259 pages
Published (first published September 26th 1996)
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(showing 1-30 of 167)
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Excellent Introduction into Bayesian Analysis.
Elliptic Blue
This book not only is a good book to learn Bayesian statistics from, but it's also a great reference for the subject as well. Taking a very hands-on approach, the concepts and philosophy of Bayesian statistical analysis are clearly presented through lucid explanations and an abundance of well-chosen examples. In the second edition, there is also a significant portion of the book dedicated to algorithmic implementation of Bayesian inference schemes; and this material is accompanied by C source co ...more
Tim Cowlishaw
I'm afraid I only got about half way through this, and will return to it once I've brushed up on my vector calculus, as some of the maths was *very* unfamiliar to me (I suspect it's written with experimental scientists with a background in physics or engineering in mind, rather than compsci geeks). Despite that though, I think I managed to absorb a lot of the principles of and the rationale behind the bayesian approach to statistical analysis, and I look forward to understanding the detail once ...more
I enjoyed the first few chapters of this book. They were a good introduction to Baysian inference even if you don't know much about statistics. Unfortunately this fall to this fell to the bottom of my priority list and I took so long reading the rest of it that I didn't get anything out of it our really follow it. My fault not the author's.
Clearly a somewhat tougher read, but possibly not much more so than Pynchons GR or Foster Wallaces IJ. Bayesian statistics are a whole different way of thinking about probabilities that makes a lot of sense.
Dec 18, 2007 Tim rated it 4 of 5 stars  ·  review of another edition
Recommends it for: everyone
A postieri, this book changed the way I view statistics.
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