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20122017
most citedMaximum principles for jump diffusion processes with infinite horizon

2 citations · 2 across the 3 of their papers we have counts for

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math.PR2024

A Kalman filter for linear systems driven by time-space Brownian sheet

Nacira Agram, Bernt Øksendal, Frank Proske +1

We study a linear filtering problem where the signal and observation processes are described as solutions of linear stochastic differential equations driven by time-space Brownian…

math.PR2024

Fokker-Planck equation for McKean-Vlasov SPDEs driven by time-space Brownian sheet

Nacira Agram, Bernt Oksendal, Frank Proske +1

In this paper, we consider a McKean-Vlasov (mean-field) stochastic partial differential equations (SPDEs) driven by a Brownian sheet. We study the propagation of chaos for a space-…

math.PR2024

Long-time behaviors of some stochastic differential equations driven by Lévy noise

I. Orlovskyi, F. Proske, O. Tymoshenko

Using key tools such as Itô formula for general semi-martingales, moments estimates for Lévy-type stochastic integrals and properties of regular varying functions we find condition…

math.PR2017

Stochastic functional differential equations and sensitivity to their initial path

David R. Baños, Giulia Di Nunno, Hannes Haferkorn +1

We consider systems with memory represented by stochastic functional differential equations. Substantially, these are stochastic differential equations with coefficients depending…

math.PR2016

On perturbations of an ODE with non-Lipschitz coefficients by a small self-similar noise

Andrey Pilipenko, Frank Norbert Proske

We study the limit behavior of differential equations with non-Lipschitz coefficients that are perturbed by a small self-similar noise. It is proved that the limiting process is eq…