Local polynomial regression for circular predictors

We consider local smoothing of datasets where the design space is the d-dimensional (d>=1) torus and the response variable is real-valued. Our purpose is to extend least squares local polynomial fitting to this situation. We give both theoretical and empirical results.

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Year of publication:	2009
Authors:	Di Marzio, Marco ; Panzera, Agnese ; Taylor, Charles C.
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 79.2009, 19, p. 2066-2075
Publisher:	Elsevier

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005023145