[CoWy ASA] ASA CO/WY Short Course Registration
Christopher Nelson
chrisnelson at nelsonconsulting.us
Tue Sep 8 11:42:01 MDT 2009
TO: ASA CO/WY Chapter
SUBJECT: ASA CO/WY Short Course: The Analysis of Cross-Classified
Categorical Data
Hello everyone - This is a quick note about registering for the upcoming ASA
CO/WY Short Course: The Analysis of Cross-Classified Categorical Data.
Currently, there are 9 seats remaining for the course and the cost is
$25/participant. Additional information (date, time, location, etc.) about
the short course is noted below.
Please email me directly (Christopher Nelson at chnelson at du.edu) if you
would like to attend this course. If you have already emailed me confirming
your interest in this course and you still plan to attend, there is no need
to send another email.
Thanks,
Christopher Nelson, Ph.D.
ASA CO/WY Chapter President
chnelson at du.edu
##### CO/WY SHORT COURSE: THE ANALYSIS OF CROSS-CLASSIFIED CATEGORICAL DATA
#####
Course: The Analysis of Cross-Classified Categorical Data
Date: Friday, October 2
Time: 9am-5pm
Location: University of Denver, Daniels College of Business
Room 140
Presenter: Stephen E. Fienberg, Department of Statistics, Carnegie Mellon
University
Abstract
Statistical methods for the analysis of categorical data in the form of
contingency tables dates back to the turn of the last century, and were
transformed by the development of log-linear model methods in the 1960s and
1970s, when computation via maximum likelihood estimation became not only
feasible but widely accessible via the major statistical packages. This
1-day is based on materials from an M.S. level course taught at Carnegie
Mellon and will introduce participants to log-linear models and methods for
fitting them to multi-dimensional contingency tables. The material will
include the use of graphical models and their interpretation, and the
applicability of the methodology to large sparse tables.
Text: Stephen E. Fienberg The Analysis of Cross-Classified Categorical Data.
2nd Edition. MIT Press. Reprinted by Springer-Verlag, 2007. (Included with
registration fee along with updated lecture notes.) The 3rd Edition may be
ready for distribution in electronic form for this course.
Outline
Morning: Examples of Contingency Tables, Log-linear models
Afternoon: Higher Dimensional Tables and Graphical Models, Model Selection,
Incomplete Contingency Tables and Capture - Recapture Problems
Learning outcomes
Course participants will learn basic ideas and modern methods for the
analysis of cross-classified categorical data using log-linear and logit
models. Special emphasis will be placed on the flexibility of these methods
and their use in a variety of non-standard problems. The course will presume
that they have access to computer programs in such systems as R, S-plus, and
SAS, and to MIM, a freely available PC-based program for graphical models.
The lectures will use output from such programs but no training in their
use!
Presenter
Stephen E. Fienberg is Maurice Falk University Professor of Statistics and
Social Science at Carnegie Mellon University, with appointments in the
Department of Statistics, the Machine Learning Department, and Cylab. He is
a co-author of Discrete Multivariate Analysis and the Analysis of
Cross-Classified Categorical Data, both Citation Classics originally
published by MIT Press and reprinted by Springer-Verlag. He continues to
publish widely on categorical data topics, including network applications
and confidentiality protection. He is a member of the National Academy of
Sciences, and a fellow of the Royal Society of Canada, the American Academy
of Arts and Sciences, and the American Academy of Political and Social
Science. He served as ASA Vice-President, IMS President, and was a recipient
of the COPSS' Presidents' Award and the ASA's Samuel S. Wilks Award.
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