Abstract
Moving local regression is a nonparametric technique for smoothing, interpolating and forecasting by means of locally fitted regression models. The paper explores the “optimal” structure of the weight function, taking into account the location of supporting points and the suspected behaviour of the remainder term, and surveys results or choice of weight functions in traditional moving local regression approaches.
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