Limit theorems for nonlinear functionals of Volterra processes via white noise analysis
Probability
2010-11-30 v2 Statistics Theory
Statistics Theory
Abstract
By means of white noise analysis, we prove some limit theorems for nonlinear functionals of a given Volterra process. In particular, our results apply to fractional Brownian motion (fBm) and should be compared with the classical convergence results of the 1980s due to Breuer, Dobrushin, Giraitis, Major, Surgailis and Taqqu, as well as the recent advances concerning the construction of a L\'{e}vy area for fBm due to Coutin, Qian and Unterberger.
Cite
@article{arxiv.0904.1401,
title = {Limit theorems for nonlinear functionals of Volterra processes via white noise analysis},
author = {Sébastien Darses and Ivan Nourdin and David Nualart},
journal= {arXiv preprint arXiv:0904.1401},
year = {2010}
}
Comments
Published in at http://dx.doi.org/10.3150/10-BEJ258 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)