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Article
Local Influence Detection of Conditional Mean Dependence
This article is focused on the problem to measure and test the conditional mean dependence of a response variable on a predictor variable. A local influence detection approach is developed combining with the m...
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Chapter
Functional Linear Regression for Partially Observed Functional Data
In functional linear regression model, many methods have been proposed and studied to estimate the slope function while the functional predictor was observed in the entire domain. However, works on functional ...
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Article
Testing independence and goodness-of-fit jointly for functional linear models
A conventional regression model for functional data involves expressing a response variable in terms of the predictor function. Two assumptions, that (i) the predictor function and the error are independent an...