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9 of 9 people found the following review helpful
5.0 out of 5 stars Great introduction, 16 Aug. 2014
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This review is from: Bayes' Rule: A Tutorial Introduction to Bayesian Analysis (Paperback)
Until recently, many texts on Bayesian inference assumed the reader had a strong background in mathematics or statistics. I found that really frustrating and it really got in my way of understanding this stuff. But this concise book (~160 pages) is a really great introduction. If I had this book when I was learning, then my journey would have been much easier.

Rather than diving directly into things, Chapter 1 provides a range of examples that demonstrate some of the core concepts. I think this is really important because often people are coming from a frequentist background, and unless certain key conceptual shifts are made, then it's tricky to gain traction. Chapter 7 (Bayesian Wars) deals with this aspect as well, so I felt it might be better coming after Chapter 1.

I think the topic coverage is great for an introductory book. It will get the reader familiar with the workings of a lot of basic problems/models, which provides an excellent foundation for going on to more elaborate situations such as hierarchical inference or model comparison.

The inclusion of an Appendix of mathematical notation was very useful.

Highly recommended. One of the best introductions to the nuts and bolts of Bayesian inference for non-statisticians.

I'll make some humble suggestions for improvement if a second edition were to emerge:
1. While the book does include some Matlab code, it might be worth including more snippets of code in the book (or even just in Appendices). When it boils down to it, people will be coding up the maths, and readers are likely to have a degree of programming experience. Including code snippets alongside the maths may help bridge the gulf between mathematical understanding and Matlab implementation.
2. The section on Forward and inverse probability is key, and could be fleshed out with more examples (with no maths) just to give the reader a greater intuition of how this can apply in their particular domain of interest.
3. Graphical model notation is becoming a very popular way of portraying probabilistic models in the literature. For me, their visual nature really helped my intuitive understanding and helped solidify concepts of generative models and inference. Figures such a 1.10 are great and do this job, but perhaps a more ubiquitous use of graphical model diagrams would help readers.
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4 of 4 people found the following review helpful
5.0 out of 5 stars Brilliant little book, 25 Feb. 2014
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This review is from: Bayes' Rule: A Tutorial Introduction to Bayesian Analysis (Paperback)
As a psychology / stats novice I have found this book very useful as an introduction to Bayesian processing. The combined examples of medical statistics versus the probability of flipping a coin give two different approaches to Baye's rule which are helpful and easy to follow. 5*'s.
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2 of 2 people found the following review helpful
5.0 out of 5 stars If you are looking somewhere to start with Bayes, this is it, 5 Dec. 2014
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Alex (Athens, Greece) - See all my reviews
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This review is from: Bayes' Rule: A Tutorial Introduction to Bayesian Analysis (Paperback)
Very good introduction, easy to follow, explains the concepts in a simple systematic way. Obviously paying close to 20 pounds for 130 pages of text (this is the number if you exclude appendices) is a very high price, but if you are looking somewhere to start with Bayes, this is quite possibly the place.
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5.0 out of 5 stars The maths behind "The Theory that Would Not Die", 2 July 2015
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This review is from: Bayes' Rule: A Tutorial Introduction to Bayesian Analysis (Paperback)
Very clear and exceptionally well written introduction to the subject with easy to follow examples and a logical sequence. Nice discussion at the end explaining the emotion and prejudice that once dogged this theory, which is fully covered in Sharon Bertsch McGrayne's complementary book, The theory that would not die, which doesn't do the maths very well. A big thank you James Stone.
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4.0 out of 5 stars with some good examples., 23 Feb. 2015
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This review is from: Bayes' Rule: A Tutorial Introduction to Bayesian Analysis (Paperback)
Very readable, with some good examples.
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1 of 2 people found the following review helpful
5.0 out of 5 stars Great for the beginner or amateur, 9 April 2014
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This review is from: Bayes' Rule: A Tutorial Introduction to Bayesian Analysis (Paperback)
Excellent for someone like me with a passing interest in probability. Great introduction to the subject which could awaken further interest.
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0 of 1 people found the following review helpful
5.0 out of 5 stars Five Stars, 8 Dec. 2014
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This review is from: Bayes' Rule: A Tutorial Introduction to Bayesian Analysis (Paperback)
Excellent
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Bayes' Rule: A Tutorial Introduction to Bayesian Analysis
Bayes' Rule: A Tutorial Introduction to Bayesian Analysis by James V Stone (Paperback - 4 Jun. 2013)
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