# Symmetric Stochastic Integrals with Respect to a Class of Self-similar Gaussian Processes

Symmetric Stochastic Integrals with Respect to a Class of Self-similar Gaussian Processes We study the asymptotic behavior of the $$\nu$$ ν -symmetric Riemann sums for functionals of a self-similar centered Gaussian process X with increment exponent $$0<\alpha <1$$ 0 < α < 1 . We prove that, under mild assumptions on the covariance of X, the law of the weak $$\nu$$ ν -symmetric Riemann sums converge in the Skorohod topology when $$\alpha =(2\ell +1)^{-1}$$ α = ( 2 ℓ + 1 ) - 1 , where $$\ell$$ ℓ denotes the largest positive integer satisfying $$\int _{0}^{1}x^{2j}\nu (\mathrm{d}x)=(2j+1)^{-1}$$ ∫ 0 1 x 2 j ν ( d x ) = ( 2 j + 1 ) - 1 for all $$j=0,\dots , \ell -1$$ j = 0 , ⋯ , ℓ - 1 . In the case $$\alpha >(2\ell +1)^{-1}$$ α > ( 2 ℓ + 1 ) - 1 , we prove that the convergence holds in probability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Theoretical Probability Springer Journals

# Symmetric Stochastic Integrals with Respect to a Class of Self-similar Gaussian Processes

Journal of Theoretical Probability, Volume 32 (3) – May 30, 2018
40 pages

/lp/springer_journal/symmetric-stochastic-integrals-with-respect-to-a-class-of-self-similar-PEtP7UWdzw
Publisher
Springer Journals
Subject
Mathematics; Probability Theory and Stochastic Processes; Statistics, general
ISSN
0894-9840
eISSN
1572-9230
DOI
10.1007/s10959-018-0833-1
Publisher site
See Article on Publisher Site

### Abstract

We study the asymptotic behavior of the $$\nu$$ ν -symmetric Riemann sums for functionals of a self-similar centered Gaussian process X with increment exponent $$0<\alpha <1$$ 0 < α < 1 . We prove that, under mild assumptions on the covariance of X, the law of the weak $$\nu$$ ν -symmetric Riemann sums converge in the Skorohod topology when $$\alpha =(2\ell +1)^{-1}$$ α = ( 2 ℓ + 1 ) - 1 , where $$\ell$$ ℓ denotes the largest positive integer satisfying $$\int _{0}^{1}x^{2j}\nu (\mathrm{d}x)=(2j+1)^{-1}$$ ∫ 0 1 x 2 j ν ( d x ) = ( 2 j + 1 ) - 1 for all $$j=0,\dots , \ell -1$$ j = 0 , ⋯ , ℓ - 1 . In the case $$\alpha >(2\ell +1)^{-1}$$ α > ( 2 ℓ + 1 ) - 1 , we prove that the convergence holds in probability.

### Journal

Journal of Theoretical ProbabilitySpringer Journals

Published: May 30, 2018

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