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Local polynomial regression for circular predictors

By M Di Marzio, A Panzera and CC Taylor

Abstract

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

Publisher: Elsevier Science BV
Year: 2009
OAI identifier: oai:eprints.whiterose.ac.uk:42948

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