Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153980 | Statistics & Probability Letters | 2009 | 10 Pages |
Abstract
We consider local smoothing of datasets where the design space is the dd-dimensional (d≥1)(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.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Marco Di Marzio, Agnese Panzera, Charles C. Taylor,