Abstract
In this part of the paper we apply the results obtained in Lepski (2013) to the variety of problems related to empirical processes.
Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
O. Lepski, “Upper Functions for Positive Random Functionals. I. General Setting and Gaussian Random Functions”, Math. Methods Statist. 22(1), 1–27 (2013).
C. J. Stone, “Additive Regression and Other Nonparametric Models”, Ann. Statist. 13(2), 689–705 (1985).
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Lepski, O. Upper functions for positive random functionals. II. Application to the empirical processes theory, part 1. Math. Meth. Stat. 22, 83–99 (2013). http://doi.org/10.3103/S1066530713020014
Received:
Accepted:
Published:
Issue Date:
DOI: http://doi.org/10.3103/S1066530713020014