Summary. A generalized Ito ̂ formula for time dependent functions of two-dimensional continuous semi-martingales is proved. The formula uses the local time of each co-ordinate process of the semi-martingale, left space and time first derivatives and second derivative ∇−1 ∇−2 f only which are assumed to be of locally bounded varia-tion in certain variables, and stochastic Lebesgue-Stieltjes integrals of two param-eters. The two-parameter integral is defined as a natural generalization of the Itô integral and Lebesgue-Stieltjes integral through a type of Ito ̂ isometry formula
By using the Itô calculus, a law of the iterated logarithm (LIL) is established for stochastic integ...
We show an It o's formula for nondegenerate Brownian martingales Xt = R t 0 us dWs and functions F(x...
Abstract. We introduce the concept of instant independence for certain anticipating stochastic proce...
Generalized Ito formulae are proved for time dependent functions of continuous real valued semi-mart...
Summary. Generalised Itô formulae are proved for time dependent functions of continuous real valued ...
process and I+ d W is a stochastic integral, a twice continuously differentiable function f(X,) is a...
We show an Itô’s formula for nondegenerate Brownian martingales Xt = R t 0 usdWs and functions F (x...
Abstract. The possibility to extend the classical Ito's construction of stochastic integrals is...
The Ito formula is the fundamental theorem of stochastic calculus. This short note presents a new pr...
AbstractFor a one-parameter process of the form Xt=X0+∫t0φsdWs+∫t0ψsds, where W is a Wiener process ...
The stochastic integral representation for an arbitrary random variable in a standard $L_2$-space is...
We establish a local martingale M associate with (X,Y) where X is a sufficiently nice Markov process...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
AbstractThe objective of this paper is to present the principal results of a large part of stochasti...
Our main results are extensions of the classical stochastic calculus. For a Markov process (X_t) , t...
By using the Itô calculus, a law of the iterated logarithm (LIL) is established for stochastic integ...
We show an It o's formula for nondegenerate Brownian martingales Xt = R t 0 us dWs and functions F(x...
Abstract. We introduce the concept of instant independence for certain anticipating stochastic proce...
Generalized Ito formulae are proved for time dependent functions of continuous real valued semi-mart...
Summary. Generalised Itô formulae are proved for time dependent functions of continuous real valued ...
process and I+ d W is a stochastic integral, a twice continuously differentiable function f(X,) is a...
We show an Itô’s formula for nondegenerate Brownian martingales Xt = R t 0 usdWs and functions F (x...
Abstract. The possibility to extend the classical Ito's construction of stochastic integrals is...
The Ito formula is the fundamental theorem of stochastic calculus. This short note presents a new pr...
AbstractFor a one-parameter process of the form Xt=X0+∫t0φsdWs+∫t0ψsds, where W is a Wiener process ...
The stochastic integral representation for an arbitrary random variable in a standard $L_2$-space is...
We establish a local martingale M associate with (X,Y) where X is a sufficiently nice Markov process...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
AbstractThe objective of this paper is to present the principal results of a large part of stochasti...
Our main results are extensions of the classical stochastic calculus. For a Markov process (X_t) , t...
By using the Itô calculus, a law of the iterated logarithm (LIL) is established for stochastic integ...
We show an It o's formula for nondegenerate Brownian martingales Xt = R t 0 us dWs and functions F(x...
Abstract. We introduce the concept of instant independence for certain anticipating stochastic proce...