Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1155778 | Stochastic Processes and their Applications | 2011 | 20 Pages |
Abstract
Given an observation of the uniform empirical process αn, its functional increments αn(u+anâ
)âαn(u) can be viewed as a single random process, when u is distributed under the Lebesgue measure. We investigate the almost sure limit behaviour of the multivariate versions of these processes as nââ and anâ0. Under mild conditions on an, a convergence in distribution and functional limit laws are established. The proofs rely on a new extension of the usual Poissonisation tools for the local empirical process.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
Davit Varron,