P534 Intro. to Bayesian Data Analysis II, Prof. Kruschke
P534
Introduction to Bayesian Data Analysis II.
Spring 2008:
Tu, Th, 2:30-3:45pm, room Psych 111.
(Registrar class number 25044)
This course is a continuation of P533, but the
first few weeks will be a review of the basics in the context of a
different textbook. Students who did not take P533 in Fall 2007, but
who are familiar with the programming language R and the basics of
Bayesian methods, are invited and encouraged to enroll. Whereas P533
developed Bayesian methods in the context of binomial data, P534 will
emphasize application to more complex designs and models, specifically
linear regression, non-linear regression, multiple regression, etc.
Materials:
Required textbook: Lynch, S. M. (2007). Introduction to
Applied Bayesian Statistics and Estimation for Social Scientists.
New York: Springer.
Assignments and supplementary materials will be posted on Oncourse under the
"Resources" link.
Please also discuss the assignments and lectures on Oncourse under the
"Message Center" link. If you attending the class but cannot get
access to the Oncourse page, please e-mail Prof. Kruschke.
Grading; Homework; Exams: There will be weekly homework
assignments. At this time I plan no exams nor any final
project. Grades will be determined by performance on the homework
assignments. All assignments are mandatory. There will be penalties
for late homework unless you have a cogent excuse. These penalties are
designed as an incentive to you because the material is cumulative;
the penalties also help keep things fair to all students. If you must
be late with an assignment, please let me know immediately.
Disclaimer: All the information here is subject to
change. Changes will announced in class.
This web page is at URL = http://www.indiana.edu/~jkkteach/P534/