The area of fractional calculus has made its way into various pure and applied scientific fields, as evidenced by its integration into numerous disciplines. An increasing number of researchers are exploring various approaches to incorporating fractional calculus into stochastic analysis. In this paper, we generalise the Wiener chaos expansion by constructing a fractional Wiener chaos expansion based on the parabolic cylinder function with an exponential factor. In the process, we demonstrate that this parabolic cylinder function with an exponential factor, which we call "a power normalised parabolic cylinder function" acts as an extension of a Hermite polynomial and retains the same martingale properties inherent in the Hermite polynomial, ...
In this dissertation, we investigate some problems in fractional Brownian motion and stochastic part...
Modelling real life stochastic phenomena is difficult due to heterogeneity in associated parameters ...
In this paper we consider a class of nonlinear stochastic partial differential equations (SPDEs) dr...
Fractional diffusion equations are widely used in various fields, such as physics, chemistry, biolog...
The aim of this paper is t.o describe recent results on the Wiener-ito decomposition. We focus on a ...
AbstractIn this paper we find the Wiener chaos expansion for the local time of the fractional Browni...
Mathematics Subject Classification: 26A33, 76M35, 82B31A stochastic solution is constructed for a fr...
We introduce a broad class of self-similar processes \{Z(t),t\ge 0\} called generalized Hermite proc...
We define multifractional Hermite processes which generalize and extend both multifractional Browni...
The concept of Wiener chaos generalizes to an infinite-dimensional setting the properties of orthogo...
Stochastic analysis with respect to fractional Brownian motion. Fractional Brownian motion (fBM for ...
The subject of this thesis is the study of some nonlinear partial differential equations driven by a...
We propose a probabilistic construction for the solution of a general class of fractional high-order...
Abstract. We present a new method for solving stochastic di®erential equations based on Galerkin pro...
AbstractIn this study, one-dimensional stochastic Korteweg–de Vries equation with uncertainty in its...
In this dissertation, we investigate some problems in fractional Brownian motion and stochastic part...
Modelling real life stochastic phenomena is difficult due to heterogeneity in associated parameters ...
In this paper we consider a class of nonlinear stochastic partial differential equations (SPDEs) dr...
Fractional diffusion equations are widely used in various fields, such as physics, chemistry, biolog...
The aim of this paper is t.o describe recent results on the Wiener-ito decomposition. We focus on a ...
AbstractIn this paper we find the Wiener chaos expansion for the local time of the fractional Browni...
Mathematics Subject Classification: 26A33, 76M35, 82B31A stochastic solution is constructed for a fr...
We introduce a broad class of self-similar processes \{Z(t),t\ge 0\} called generalized Hermite proc...
We define multifractional Hermite processes which generalize and extend both multifractional Browni...
The concept of Wiener chaos generalizes to an infinite-dimensional setting the properties of orthogo...
Stochastic analysis with respect to fractional Brownian motion. Fractional Brownian motion (fBM for ...
The subject of this thesis is the study of some nonlinear partial differential equations driven by a...
We propose a probabilistic construction for the solution of a general class of fractional high-order...
Abstract. We present a new method for solving stochastic di®erential equations based on Galerkin pro...
AbstractIn this study, one-dimensional stochastic Korteweg–de Vries equation with uncertainty in its...
In this dissertation, we investigate some problems in fractional Brownian motion and stochastic part...
Modelling real life stochastic phenomena is difficult due to heterogeneity in associated parameters ...
In this paper we consider a class of nonlinear stochastic partial differential equations (SPDEs) dr...