Variation independent parametrizations
Duration: 9 mins 31 secs
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About this item
| Description: |
Evans, R (Stats Lab)
Monday 26 September 2011, 12:30-12:40 |
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| Created: | 2011-10-03 17:10 |
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| Collection: |
Design and Analysis of Experiments
Cambridge Statistics Initiative 2011 |
| Publisher: | Isaac Newton Institute |
| Copyright: | Evans, R |
| Language: | eng (English) |
| 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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