This paper is dedicated to the blessed memory of my first teacher Professor Yu. L. Daletsky. Abstract. We introduce and study a generalized stochastic derivative on the Kon-dratiev-type space of regular generalized functions of Gamma white noise. Properties of this derivative are quite analogous to the properties of the stochastic derivative in the Gaussian analysis. As an example we calculate the generalized stochastic derivative of the solution of some stochastic equation with Wick-type nonlinearity. Let S ′ be the Schwartz distributions space, µ be the Gaussian measure on S ′. As is well known, every square integrable function f ∈ L2(S ′, µ) can be presented in the form (0.1) f
The space (D*) of Wiener distributions allows a natural Pettis-type stochastic calculus. For a certa...
The S-transform is studied as a mapping from a space of tensors to a space of functions over a compl...
Using the white noise space setting, we define and study stochastic integrals with respect to a clas...
Abstract. We introduce and study generalized stochastic derivatives on a Kondra-tiev-type space of r...
Abstract. We introduce and study Hida-type stochastic derivatives and stochastic differential operat...
<p>The operators of stochastic differentiation, which are closely related with the extended Skorohod...
The paper describes the structure of a new space of generalized Wiener functionals, (D∞)*, called th...
Abstract. We introduce an extended stochastic integral and construct elements of the Wick calculus o...
Many objects of the Gaussian white noise analysis (spaces of test and generalized functions, stochas...
Using the white noise space setting, we define and study stochastic integrals with respect to a clas...
Grothaus M, Kondratiev Y, Streit L. Regular generalized functions in Gaussian analysis. INFINITE DIM...
We investigate the properties of the Wick square of Gaussian white noises through a new method to pe...
Given a Gaussian stationary increment processes, we show that a Skorokhod-Hitsuda stochastic integra...
Given a Gaussian stationary increment processes, we show that a Skorokhod-Hitsuda stochastic integra...
AbstractIn this paper, a theory of generalized functions is established on an arbitrary abstract Wie...
The space (D*) of Wiener distributions allows a natural Pettis-type stochastic calculus. For a certa...
The S-transform is studied as a mapping from a space of tensors to a space of functions over a compl...
Using the white noise space setting, we define and study stochastic integrals with respect to a clas...
Abstract. We introduce and study generalized stochastic derivatives on a Kondra-tiev-type space of r...
Abstract. We introduce and study Hida-type stochastic derivatives and stochastic differential operat...
<p>The operators of stochastic differentiation, which are closely related with the extended Skorohod...
The paper describes the structure of a new space of generalized Wiener functionals, (D∞)*, called th...
Abstract. We introduce an extended stochastic integral and construct elements of the Wick calculus o...
Many objects of the Gaussian white noise analysis (spaces of test and generalized functions, stochas...
Using the white noise space setting, we define and study stochastic integrals with respect to a clas...
Grothaus M, Kondratiev Y, Streit L. Regular generalized functions in Gaussian analysis. INFINITE DIM...
We investigate the properties of the Wick square of Gaussian white noises through a new method to pe...
Given a Gaussian stationary increment processes, we show that a Skorokhod-Hitsuda stochastic integra...
Given a Gaussian stationary increment processes, we show that a Skorokhod-Hitsuda stochastic integra...
AbstractIn this paper, a theory of generalized functions is established on an arbitrary abstract Wie...
The space (D*) of Wiener distributions allows a natural Pettis-type stochastic calculus. For a certa...
The S-transform is studied as a mapping from a space of tensors to a space of functions over a compl...
Using the white noise space setting, we define and study stochastic integrals with respect to a clas...