Uniform in bandwidth consistency of kernel-type function estimators
Einmahl, Uwe ; Mason, David M.
Ann. Statist., Tome 33 (2005) no. 1, p. 1380-1403 / Harvested from Project Euclid
We introduce a general method to prove uniform in bandwidth consistency of kernel-type function estimators. Examples include the kernel density estimator, the Nadaraya–Watson regression estimator and the conditional empirical process. Our results may be useful to establish uniform consistency of data-driven bandwidth kernel-type function estimators.
Publié le : 2005-06-14
Classification:  Kernel-type function estimator,  uniform in bandwidth,  consistency,  60F15,  62G07,  62G08
@article{1120224106,
     author = {Einmahl, Uwe and Mason, David M.},
     title = {Uniform in bandwidth consistency of kernel-type function estimators},
     journal = {Ann. Statist.},
     volume = {33},
     number = {1},
     year = {2005},
     pages = { 1380-1403},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1120224106}
}
Einmahl, Uwe; Mason, David M. Uniform in bandwidth consistency of kernel-type function estimators. Ann. Statist., Tome 33 (2005) no. 1, pp.  1380-1403. http://gdmltest.u-ga.fr/item/1120224106/