Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7549246 | Statistics & Probability Letters | 2016 | 11 Pages |
Abstract
We prove asymptotic results and concentration inequalities for a large class of discrete associated kernel estimators, under the total variation distance. We also propose a data driven bandwidth selection procedure aiming to minimize the total variation. Simulations are conducted.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Célestin C. Kokonendji, Davit Varron,