Bayesian Computation with R (Use R)
by Jim Albert
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Book Summary Information
Author: Jim AlbertEdition: Paperback
Audio: English (Original Language); English (Unknown); English (Published)
Published: 2008-06-11
ISBN: 0387713840
Number of pages: 270
Publisher: Springer
Book Reviews of Bayesian Computation with R (Use R)
Book Review: Another R Book
Summary: 2 Stars
First the good: The first three chapters gives the reader a nice introduction to using R for Bayesian statistics and some well worked out examples: a necessity when dealing with a program that one is unfamiliar with. The text does a decent job of complementing the material found in another text on basic Bayesian methodology such as Gelman et al. (2004) or Carlin and Lewis (2008).
The Bad: Towards the latter half of the text the author begins to use a program from the 'Learn Bayes' package entitled "Laplace". It is of my belief that this black box is faulty and very badly behaved. Many of the examples from the text as well as exercises from the sections would not run simply because of this black box. None of nine graduate students working together and independently were able to get this function to perform its duties on a regular basis.
The Ugly: Use of a black box programming technique does nothing more than to add to confusion of how Bayesian methodology works and does not give the reader an adequate background on how to program R to perform Bayesian methods. Black box usage trains a budding statistician to point, click, type, and look at results without really giving them the necessary tools to know if what they are view is even reasonable or what they wanted in the first place.
Conclusions: Decent at first; weak at the last. Would not purchase again as a reference to R.
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