Methods for functional regression and nonlinear mixed-effects models with applications to PET data
The overall theme of this thesis focuses on methods for functional regression and nonlinear mixed-effects models with applications to PET data. The first part considers the problem of variable selection in regression models with functional responses and scalar predictors. We pose the function-...
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| Language: | English |
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2017
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| Online Access: | https://doi.org/10.7916/D87W6QJ9 |