AbstractNonanticipative linear transformations of the two-parameter Wiener process W are studied. It is shown that they induce measures equivalent to two-parameter Wiener measure and the corresponding Radon-Nikodym derivatives are calculated. A two-parameter extension of Girsanov's theorem is established for a class of nonanticipative, possibly nonlinear transformations of W
AbstractBy a Wiener process we mean a countably additive random measure taking independent values on...
The Wiener process is characterized by martingale and reverse martingale property of some linear and...
In this paper we study the structure of square integrable functionals measur-able with respect to co...
AbstractNecessary and sufficient conditions for transforming into the Wiener process a one-dimension...
Necessary and sufficient conditions for transforming into the Wiener process a one-dimensional diffu...
The purpose of this paper is to get a canonical representation of Gaussian processes which are equiv...
We give simple necessary and sufficient conditions on the mean and covariance for a Gaussian measure...
The transformation problem of Kolmogorov equations for one-dimensional diffusion processes to the Ko...
AbstractIn this work we study the necessary and sufficient conditions for a positive random variable...
The work is to devoted to studying non-linear transformations of the measures in the infinite-dimens...
AbstractA noncommutative analog of the concept of Markov time is formulated, in association with a c...
The quadratic variation of functionals of the two-parameter Wiener process of the form f (W(s, t)) i...
AbstractWe consider semilinear stochastic evolution equations driven by a cylindrical Wiener process...
We relate the formulas giving Brownian (and other) intersection exponents to the absolute continuity...
For most practical purposes, the focus is often on obtaining statistical moments of the response of ...
AbstractBy a Wiener process we mean a countably additive random measure taking independent values on...
The Wiener process is characterized by martingale and reverse martingale property of some linear and...
In this paper we study the structure of square integrable functionals measur-able with respect to co...
AbstractNecessary and sufficient conditions for transforming into the Wiener process a one-dimension...
Necessary and sufficient conditions for transforming into the Wiener process a one-dimensional diffu...
The purpose of this paper is to get a canonical representation of Gaussian processes which are equiv...
We give simple necessary and sufficient conditions on the mean and covariance for a Gaussian measure...
The transformation problem of Kolmogorov equations for one-dimensional diffusion processes to the Ko...
AbstractIn this work we study the necessary and sufficient conditions for a positive random variable...
The work is to devoted to studying non-linear transformations of the measures in the infinite-dimens...
AbstractA noncommutative analog of the concept of Markov time is formulated, in association with a c...
The quadratic variation of functionals of the two-parameter Wiener process of the form f (W(s, t)) i...
AbstractWe consider semilinear stochastic evolution equations driven by a cylindrical Wiener process...
We relate the formulas giving Brownian (and other) intersection exponents to the absolute continuity...
For most practical purposes, the focus is often on obtaining statistical moments of the response of ...
AbstractBy a Wiener process we mean a countably additive random measure taking independent values on...
The Wiener process is characterized by martingale and reverse martingale property of some linear and...
In this paper we study the structure of square integrable functionals measur-able with respect to co...