The Book (latest update: August 23rd, 2010)
several years now, Michael Lee and I have been working on a course book
about Bayesian graphical modeling. This book is used to teach
graphical modeling courses at UCI and UvA. After working through the
examples provided in this book, you should be able to use the WinBUGS
program to build your own Bayesian models, apply them to your own data,
and draw your own conclusions.
The book is based on three principles. The first is that of accessability
the book's only prerequisite is that you know how to operate a
computer; you do not need any advanced knowledge of statistics or
mathematics. The second principle is that of applicability
the examples in this book are meant to illustrate how Bayesian modeling
can be useful for problems that people in cognitive science care about.
The third principle is that of practicality
: this book offers a hands-on, "just do it" approach, one that we feel keeps students interested and motivated to learn more.
Note: the book is still undergoing
development, so any feedback you have is greatly appreciated.
The latest version of the book is available for download HERE
. Almost all of the examples come with Matlab and R code, available for download here
Michael Lee's website on Bayesian graphical modeling is here