ASYMPTOTIC EXPANSIONS IN LIMIT-THEOREMS FOR STOCHASTIC-PROCESSES .1.

Authors
Citation
Ad. Wentzell, ASYMPTOTIC EXPANSIONS IN LIMIT-THEOREMS FOR STOCHASTIC-PROCESSES .1., Probability theory and related fields, 106(3), 1996, pp. 331-350
Citations number
10
Categorie Soggetti
Statistic & Probability","Statistic & Probability
ISSN journal
01788051
Volume
106
Issue
3
Year of publication
1996
Pages
331 - 350
Database
ISI
SICI code
0178-8051(1996)106:3<331:AEILFS>2.0.ZU;2-H
Abstract
For some families of locally infinitely divisible Markov processes eta (epsilon)(t),0 less than or equal to t less than or equal to T, with f requent small jumps, limit theorems for expectations of functionals F( eta(epsilon)[0, T]) are proved of the form \E(epsilon)F(eta(epsilon)[0 , T]) - E(0)F(eta(0)[0, T])\ less than or equal to const . k(epsilon), E(epsilon)F(eta(epsilon)[0, T]) = E(0)[F(eta(0)[0, T]) + k(epsilon) . A(1)F(eta(0)[0, T])] + o(k(epsilon)) (epsilon down arrow 0), where A( 1) is a linear differential operator acting on functionals, and the co nstant is expressed in terms of the local characteristics of the proce sses eta(epsilon)(t) and the norms of the derivatives of the functiona l F.