Model comparison and assessment by cross validation
Cross validation (CV) is widely used for model assessment and comparison. In this thesis, we first review and compare three v-fold CV strategies: best single CV, repeated and averaged CV and double CV. The mean squared errors of the CV strategies in estimating the best predictive performance are ill...
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| Format: | Others |
| Language: | English |
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University of British Columbia
2008
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| Online Access: | http://hdl.handle.net/2429/1286 |