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Abstract
We study the convergence in probability in the non-standard M1 Skorokhod topology of the Hilbert valued stochastic convolution integrals of the type ∫Fγ(t−s)dL(s) to a process ∫F(t−s)dL(s) driven by a Lévy process L. In Banach spaces we introduce strong, weak and product modes of M1-convergence, prove a criterion for the M1-convergence in probability of stochastically continuous càdlàg processes in terms of the convergence in probability of the finite dimensional marginals and a good behaviour of the corresponding oscillation functions, and establish criteria for the convergence in probability of Lévy driven stochastic convolutions. The theory is applied to the infinitely dimensional integrated Ornstein-Uhlenbeck processes with diagonalisable generators.
Original language | English |
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Pages (from-to) | 271-305 |
Number of pages | 35 |
Journal | STOCHASTIC ANALYSIS AND APPLICATIONS |
Volume | 33 |
Issue number | 2 |
Early online date | 2 Feb 2015 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- M1 Skorokhod topology
- stochastic convolution integral
- Lévy process
- Hilbert space
- Banach space
- convergence in probability
- Ornstein-Uhlenbeck process
- integrated Ornstein-Uhlenbeck process
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Dive into the research topics of 'Non-standard Skorokhod convergence of Levy-driven convolution integrals in Hilbert spaces'. Together they form a unique fingerprint.Projects
- 1 Finished
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Cylindrical Levy processes and their applications
Riedle, M. (Primary Investigator)
EPSRC Engineering and Physical Sciences Research Council
1/06/2012 → 31/05/2014
Project: Research