Faculty Candidate Seminar: Sampling for Conditional Inference on Multiway Tables

Event Details
  • Date/Time:
    • Tuesday February 8, 2005 - Monday February 7, 2005
      10:00 am - 11:00 pm
  • Location: Executive Classroom: Room 228 ISyE
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
Barbara Christopher
Industrial and Systems Engineering
Contact Barbara Christopher
404.385.3102
Summaries

Summary Sentence: Faculty Candidate Seminar: Sampling for Conditional Inference on Multiway Tables

Full Summary: Faculty Candidate Seminar: Sampling for Conditional Inference on Multiway Tables

We describe an efficient sequential Monte Carlo method for sampling
multiway tables with given constraints, which can be used to approximate
exact conditional inference on contingency tables. An essential feature
of our new method is that it samples table entries sequentially according
to an appropriate proposal distribution. The sequential sampling approach
"divides and conquers" the difficult task of finding an appropriate
proposal distribution for a multiway table with complex constraints.
Computational commutative algebra is used to provide conditions that
guarantee that our method has certain good properties. We apply our method
to a range of examples from social and medical sciences to demonstrate its
efficiency in real problems.

Additional Information

In Campus Calendar
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Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

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Categories
Seminar/Lecture/Colloquium
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Status
  • Created By: Barbara Christopher
  • Workflow Status: Published
  • Created On: Oct 8, 2010 - 7:38am
  • Last Updated: Oct 7, 2016 - 9:52pm