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Local polynomial regression for circular predictors

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Author Info
Di Marzio, Marco
Panzera, Agnese
Taylor, Charles C.
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.

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Article provided by Elsevier in its journal Statistics & Probability Letters.

Volume (Year): 79 (2009)
Issue (Month): 19 (October)
Pages: 2066-2075
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Handle: RePEc:eee:stapro:v:79:y:2009:i:19:p:2066-2075

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This page was last updated on 2009-12-30.

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