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Variation independent parametrizations

Presented by: 
R Evans [Stats Lab]
Date: 
Monday 26th September 2011 - 12:30 to 12:40
Venue: 
INI Seminar Room 1
Abstract: 
Variation independence can be a useful tool for developing algorithms and for param- eter interpretation. We present a simple method for creating variation independent parametrizations of some discrete models using Fourier-Motzkin elimination, with some examples.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons