[CoWy ASA] ASA CO/WY 2009 Fall Meeting and other chapter information
chrisnelson at nelsonconsulting.us
Fri Sep 25 16:16:29 MDT 2009
TO: ASA CO/WY Chapter
- Fall meeting date, time, and location
- Call for speakers for the fall meeting
- Short course information
################ FALL MEETING
Hello everyone - The fall ASA CO/WY meeting will be held on November 13,
2009 at the Anschutz Medical Campus. There is no need to RSVP for this
event. We will send directions as the fall meeting approaches.
If you are interested in speaking at this event - please contact me
(Christopher Nelson) at <mailto:chnelson at du.edu> chnelson at du.edu. Any
topics in statistics are welcomed and the presentation should last
approximately 20-30 minutes.
Event: CO/WY Fall Meeting 2009
Date: November 13, 2009
Location: AMC, ED1, P26-1300 (Education 1 building, room P26-1300)
Time: 1:00 - 3:30pm
################# SHORT COURSE
This is a quick note about registering for the upcoming ASA CO/WY Short
Course: The Analysis of Cross-Classified Categorical Data. There are only 2
seats remaining for the course and the cost is $25/participant. Additional
information (date, time, location, etc.) about the short course is noted
Please email me directly (Christopher Nelson at <mailto:chnelson at du.edu>
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
<mailto:chnelson at du.edu> 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
Location: University of Denver, Daniels College of Business
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
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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