Nonparametric regression for functional data provides a flexible statistical framework for modelling relationships between a scalar response and predictors that are inherently functional in nature.
This paper studies the validity of nonparametric tests used in the regression discontinuity design. The null hypothesis of interest is that the average treatment effect at the threshold in the ...
This is a preview. Log in through your library . Abstract Consider the heteroscedastic nonparametric regression model with random design Yi = f(Xi) + V1/2(Xi)εi, i = 1,2,...,n, with f(·) and V(·) α- ...
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