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.
Local polynomial regression for circular predictors / Marco Di Marzio;Agnese Panzera;Charles C. Taylor. - In: STATISTICS & PROBABILITY LETTERS. - ISSN 0167-7152. - STAMPA. - 79:(2009), pp. 2066-2075. [10.1016/j.spl.2009.06.014]
Local polynomial regression for circular predictors
PANZERA, AGNESE;
2009
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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