arXiv:0902.2563 [math.PR]AbstractReferencesReviewsResources
Expansions for Gaussian processes and Parseval frames
Published 2009-02-15Version 1
We derive a precise link between series expansions of Gaussian random vectors in a Banach space and Parseval frames in their reproducing kernel Hilbert space. The results are applied to pathwise continuous Gaussian processes and a new optimal expansion for fractional Ornstein-Uhlenbeck processes is derived. In the end an extension of this result to Gaussian stationary processes with convex covariance function is established.
Comments: 20 pages
Journal: Electronic Journal of Probability 14, 42 (2009) 1198-1221
DOI: 10.1214/EJP.v14-649
Categories: math.PR
Keywords: gaussian processes, parseval frames, convex covariance function, gaussian stationary processes, reproducing kernel hilbert space
Tags: journal article
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