On filtering over Îto-Volterra observations.
On finite-dimensional projections of distributions for solutions of randomly forced 2D Navier–Stokes equations
On forward and inverse uncertainty quantification for a model for a magneto mechanical device involving a hysteresis operator
Modeling real world objects and processes one may have to deal with hysteresis effects but also with uncertainties. Following D. Davino, P. Krejčí, and C. Visone (2013), a model for a magnetostrictive material involving a generalized Prandtl-Ishlinski-operator is considered here. Using results of measurements, some parameters in the model are determined and inverse Uncertainty Quantification (UQ) is used to determine random densities to describe the remaining parameters and their uncertainties....
On Fredholm integral equations with random degenerate kernels
On generalized probabilistic 2-normed spaces.
On Henstock-Kurzweil method to Stratonovich integral
We use the general Riemann approach to define the Stratonovich integral with respect to Brownian motion. Our new definition of Stratonovich integral encompass the classical Stratonovich integral and more importantly, satisfies the ideal Itô formula without the “tail” term, that is, Further, the condition on the integrands in this paper is weaker than the classical one.
On homogenization of a diffusion perturbed by a periodic reflection invariant vector field.
On homogenization of non-divergence form partial difference equations.
On invariant measures of nonlinear Markov processes.
On Itô-Kurzweil-Henstock integral and integration-by-part formula
In this paper we derive the Integration-by-Parts Formula using the generalized Riemann approach to stochastic integrals, which is called the Itô-Kurzweil-Henstock integral.
On Ito's formula of Föllmer and Protter
On least squares estimation in continuous time linear stochastic systems
On Lipschitz Dependence in Systems with Differentiated Inputs.
On logarithmic Sobolev inequalities for normal martingales
On mild solutions of gradient systems in Hilbert spaces
We consider the Cauchy problem for an infinite-dimensional Ornstein-Uhlenbeck equation perturbed by gradient of a potential. We prove some results on existence and uniqueness of mild solutions of the problem. We also provide stochastic representation of mild solutions in terms of linear backward stochastic differential equations determined by the Ornstein-Uhlenbeck operator and the potential.
On near-optimal necessary and sufficient conditions for forward-backward stochastic systems with jumps, with applications to finance
We establish necessary and sufficient conditions of near-optimality for nonlinear systems governed by forward-backward stochastic differential equations with controlled jump processes (FBSDEJs in short). The set of controls under consideration is necessarily convex. The proof of our result is based on Ekeland's variational principle and continuity in some sense of the state and adjoint processes with respect to the control variable. We prove that under an additional hypothesis, the near-maximum...
On Newton's method for stochastic differential equations
On nonperturbative localization with quasi-periodic potential.
On nonuniform dichotomy for stochastic skew-evolution semiflows in Hilbert spaces
In this paper we study a general concept of nonuniform exponential dichotomy in mean square for stochastic skew-evolution semiflows in Hilbert spaces. We obtain a variant for the stochastic case of some well-known results, of the deterministic case, due to R. Datko: Uniform asymptotic stability of evolutionary processes in a Banach space, SIAM J. Math. Anal., 3(1972), 428–445. Our approach is based on the extension of some techniques used in the deterministic case for the study of asymptotic behavior...
On One Estimation Problem