[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.  




Christopher Nelson, Ph.D.

ASA CO/WY Chapter President

chnelson at du.edu





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



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. 



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



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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