Linear mixed effects models in functional data analysis
Regression models with a scalar response and a functional predictor have been extensively studied. One approach is to approximate the functional predictor using basis function or eigenfunction expansions. In the expansion, the coefficient vector can either be fixed or random. The random coeffi...
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| Format: | Others |
| Language: | en |
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University of British Columbia
2008
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| Online Access: | http://hdl.handle.net/2429/253 |