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Bayesian Cognitive Modeling: A Practical Course, by Michael D. Lee, Eric-Jan Wagenmakers
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Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.
- Sales Rank: #169311 in Books
- Published on: 2014-04-14
- Released on: 2014-04-03
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x .59" w x 7.44" l, 1.20 pounds
- Binding: Paperback
- 280 pages
Review
"This book provides the best practical guide to date on how to do Bayesian modeling in cognitive science."
--Jay Myung, Professor of Psychology, Ohio State University
"This is a very powerful exposition of how Bayesian methods, and WinBUGS in particular, can be used to deal with cognitive models that are apparently intractable. When we produced WinBUGS, we had no idea it could be used like this - it's amazing and gratifying to see these applications."
--David Spiegelhalter, Winton Professor for the Public Understanding of Risk, Statistical Laboratory, Centre for Mathematical Sciences, Cambridge
About the Author
Michael D. Lee is a professor in the Department of Cognitive Sciences at the University of California, Irvine.
Eric-Jan Wagenmakers is a professor in the Department of Psychological Methods at the University of Amsterdam.
Most helpful customer reviews
8 of 8 people found the following review helpful.
Bayesian statistics provide a much better way of fitting and testing models in many areas ...
By Antonio Rangel
Bayesian statistics provide a much better way of fitting and testing models in many areas of neuroscience, psychology, and economics. They are especially useful in settings in which there is a latent natural hierarchical structure and in which the models of interest are complex. If you are interested in learning how to use this methods in any of these areas, this book is as useful and as good as it gets. It will bring you up to speed on the key techniques and how to use them effectively. The fact that this version supports multiple statistical softwares, and not only R, is an added plus. Many people in my lab have used it successfully to learn hese methods.
Antonio Rangel
Caltech
www.rnl.caltech.edu
4 of 5 people found the following review helpful.
I think this well-written book is most useful for anyone who wants become acquainted with modern Bayesian ...
By Prof. Dr. Rolf Ulrich
I think this well-written book is most useful for anyone who wants become acquainted with modern Bayesian interference and in particular with WinBUGS and JAGS. I found this book especially relevant for experimental psychologists and cognitive scientists. It covers many practical problems including parameter estimation, statistical interference, and basic cognitive models (e.g., signal detection theory, multinomial processing trees, decision making). For each problem, the authors provide a computer code, which readers with little background in Matlab or R will appreciate. After working out some of these examples, it is easy to see how the general principle of this interference can be applied to other statistical problems and cognitive models.
1 of 2 people found the following review helpful.
Do not buy the e-book, especially for classes
By Amazon Customer
This review is strictly for the e-book, as viewed on the kindle app for pc (this is the only option).
Pros:
- Cheaper than getting the real book
- Not as heavy as the real book
Cons:
- Absolutely non-intuitive formatting
- - The Kindle app is great for books where pictures and graphs don't exist. But they exist in this book
- - Namely, where the page is specifically formatted to portray an idea cohesively, it completely neglects this
- - - It was never designed to do this, but I felt it was worth noting as it made it extremely difficult to interpret
- Lack of page numbers
- - This was an assigned book for one of my classes. They assigned page numbers for reading. This was the biggest deal breaker
- Completely breaks convention
- - The largest similarity between this ebook and the real book is that it technically has the same content. The only other similarity is that there are words on pages. Nothing else is the same
My suggestion is to get this book through other means. Namely, getting the hardcopy. I will not condone pirating the pdf, but it would at least be the same as the book
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