The kernel estimator fits a local mean at each point x and thus cannot even estimate a line without bias (Cleveland, Cleveland, Devlin and Grosse 1988). An estimator based on locally-weighted ...

Bernstein polynomial estimation provides a robust nonparametric technique for approximating both density and distribution functions. Based on the properties of Bernstein polynomials, which uniformly ...

Parameter estimation of polynomial phase signals (PPS) constitutes a vital area of signal processing, wherein the objective is to accurately determine the coefficients of a polynomial function that ...

This is a preview. Log in through your library . Abstract Local polynomial regression is commonly used for estimating regression functions. In practice, however, with rough functions or sparse data, a ...

This is a preview. Log in through your library . Abstract Generalized additive models are a popular class of multivariate non-parametric regression models, due in large part to the ease of use of the ...