Local polynomial regression for circular predictors
Résumé
We consider local smoothing of datasets where the design space is the -dimensional 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.
Origine : Fichiers produits par l'(les) auteur(s)
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