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Functional Regression Models In The Frame Work Of Reproducing Kernel Hilbert Space, Simeng Qu
Functional Regression Models In The Frame Work Of Reproducing Kernel Hilbert Space, Simeng Qu
Open Access Dissertations
The aim of this thesis is to systematically investigate some functional regression models for accurately quantifying the effect of functional predictors. In particular, three functional models are studied: functional linear regression model, functional Cox model, and function-on-scalar model. Both theoretical properties and numerical algorithms are studied in depth. The new models find broad applications in many areas.
For the functional linear regression model, the focus is on testing the nullity of the slope function, and a generalized likelihood ratio test based on easily implementable data-driven estimate is proposed. The quality of the test is measured by the minimal distance between …