The classical Lebesgue--Stieltjes integral b R a f dg of real or complex--valued functions on a finite interval (a; b) is extended to a large class of integrands f and integrators g of unbounded variation. The key is to use composition formulas and integration--by--part rules for fractional integrals and Weyl derivatives. In the special case of Holder continuous functions f and g of summary order greater than 1 convergence of the corresponding Riemann--Stieltjes sums is proved. The results are applied to stochastic integrals where g is replaced by the Wiener process and f by adapted as well as anticipating random functions. In the anticipating case we work within Slobodecki spaces and introduce a stochastic integral for which the classi...
The stochastic integral representation for an arbitrary random variable in a standard $L_2$-space is...
Abstract. The possibility to extend the classical Ito's construction of stochastic integrals is...
Stochastic Integrals Driven by Isonormal Gaussian Processes and Applications Master Thesis - Petr Čo...
The link between fractional and stochastic calculus established in part I of this paper is investiga...
In this paper a stochastic calculus is given for the fractional Brownian motions that have the Hurst...
In this paper a stochastic calculus is given for the fractional Brownian motions that have the Hurst...
AbstractThe objective of this paper is to present the principal results of a large part of stochasti...
This thesis deals with the stochastic integral with respect to Gaussian processes, which can be expr...
AbstractWe extend the Skorohod integral, allowing integration with respect to Gaussian processes tha...
In this paper we provide a discrete approximation for the stochastic integral with respect to the fr...
In this paper we provide a discrete approximation for the stochastic integral with respect to the fr...
A pathwise approach to stochastic integral equations is advocated. Linear extended Riemann-Stieltjes...
A pathwise approach to stochastic integral equations is advocated. Linear extended Riemann-Stieltjes...
A pathwise approach to stochastic integral equations is advocated. Linear extended Riemann-Stieltjes...
In this paper we provide a discrete approximation for the stochastic integral with respect to the fr...
The stochastic integral representation for an arbitrary random variable in a standard $L_2$-space is...
Abstract. The possibility to extend the classical Ito's construction of stochastic integrals is...
Stochastic Integrals Driven by Isonormal Gaussian Processes and Applications Master Thesis - Petr Čo...
The link between fractional and stochastic calculus established in part I of this paper is investiga...
In this paper a stochastic calculus is given for the fractional Brownian motions that have the Hurst...
In this paper a stochastic calculus is given for the fractional Brownian motions that have the Hurst...
AbstractThe objective of this paper is to present the principal results of a large part of stochasti...
This thesis deals with the stochastic integral with respect to Gaussian processes, which can be expr...
AbstractWe extend the Skorohod integral, allowing integration with respect to Gaussian processes tha...
In this paper we provide a discrete approximation for the stochastic integral with respect to the fr...
In this paper we provide a discrete approximation for the stochastic integral with respect to the fr...
A pathwise approach to stochastic integral equations is advocated. Linear extended Riemann-Stieltjes...
A pathwise approach to stochastic integral equations is advocated. Linear extended Riemann-Stieltjes...
A pathwise approach to stochastic integral equations is advocated. Linear extended Riemann-Stieltjes...
In this paper we provide a discrete approximation for the stochastic integral with respect to the fr...
The stochastic integral representation for an arbitrary random variable in a standard $L_2$-space is...
Abstract. The possibility to extend the classical Ito's construction of stochastic integrals is...
Stochastic Integrals Driven by Isonormal Gaussian Processes and Applications Master Thesis - Petr Čo...