Abstract
We study the convergence in probability in the non-standard Skorokhod topology of the Hilbert valued stochastic convolution integrals of the type to a process driven by a Lévy process . In Banach spaces we introduce strong, weak and product modes of -convergence, prove a criterion for the -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.
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