Figure
1. Why you should attend the tutorial. (Notice that the Bayesian analysis reveals many credible regression lines, for which the slopes and intercepts trade off, instead of just one "best" line.) 
This twohour workshop shows you how to do Bayesian data analysis, hands on (with free software called R and BUGS). The intended audience is grad students and other researchers who want a groundfloor introduction to Bayesian data analysis. No mathematical expertise is presumed.
Agenda: The twohour workshop will rocket through the following topics, allocating about a half hour to each.
Bayesian data analysis is not Bayesian modeling of cognition. Data analysis involves "generic" descriptive models (such as linear regression) without any necessary interpretation as cognitive computation. The rational way to estimate parameters in descriptive models is Bayesian, regardless of whether or not Bayesian models of mind are viable. The concepts and methods of Bayesian data analysis transfer to other Bayesian models, including Bayesian models of cognition.
Why go Bayesian? See Figure 1. But beyond that, sciences from astronomy to zoology are changing from 20thcentury nullhypothesis significance testing to Bayesian data analysis. Read more:
Who is the instructor? John
Kruschke is fivetime winner of Teaching Excellence Recognition
Awards from Indiana University, where he is Professor of Psychological
and Brain Sciences, and Adjunct Professor of Statistics. He has
written an introductory textbook on Bayesian data
analysis; see also the articles linked above. His research
interests include the science of morality, applications of Bayesian
methods to teaching and learning, and models of attention in learning,
which he has developed in both connectionist and Bayesian
formalisms. He received the Troland Research Award from the National
Academy of Sciences.
Bringing a notebook computer?
You do not need to bring a notebook computer to the course. But you are invited to bring one, so that you can run the programs and see how their output corresponds with the presentation material. If you want to bring a notebook computer to the course, you must install the software listed below before arriving at the course, because there will not be time to do it during the tutorial.

This page URL: http://www.indiana.edu/~jkkteach/WorkshopAPS2011.html