In this paper we first present a multidimensional version of the characterization of the conditional independence in terms of a factorization property proved by Alabert et al. in the scalar case. As an application, we prove that the solution of a particular two-dimensional linear stochastic differential equation with boundary condition, considered by Ocone and Pardoux, is not a Markov field
AbstractLet B be a 2-parameter Brownian motion on R+2. Consider the non-Markovian stochastic differe...
In the present paper we study the one-dimensional stochastic difference equation x(n + 1) = X(n) + f...
We study existence and uniqueness of solutions for second order ordinary stochastic differential equ...
In this paper we first present a multidimensional version of the characterization of the conditional...
This is the publisher's version, also available electronically from http://www.jstor.org/stable/3318...
This is the published version, also available here: http://dx.doi.org/10.1214/aop/1176988183.The pur...
The purpose of this paper is to prove a characterization of the conditional independence of two inde...
This is the published version, also available here: http://dx.doi.org/10.1214/aop/1176990337.In this...
We consider linear nth order stochastic differential equations on [0, 1], with linear boundary condi...
In this paper we show that the solution of a second-order stochastic differential equation with diff...
This paper deals with the relationship between two-dimensional parameter Gaussian random fields veri...
AbstractAn expression for the strong solution of the linear stochastic differential equation in the ...
We study a class of stochastic differential equations driven by semimartingale with non-Lipschitz co...
In the present paper we study the one-dimensional stochastic difference equation Xn+1 = Xn + f(Xn) +...
We consider a non-Markovian optimal stopping problem on finite horizon. We prove that the value proc...
AbstractLet B be a 2-parameter Brownian motion on R+2. Consider the non-Markovian stochastic differe...
In the present paper we study the one-dimensional stochastic difference equation x(n + 1) = X(n) + f...
We study existence and uniqueness of solutions for second order ordinary stochastic differential equ...
In this paper we first present a multidimensional version of the characterization of the conditional...
This is the publisher's version, also available electronically from http://www.jstor.org/stable/3318...
This is the published version, also available here: http://dx.doi.org/10.1214/aop/1176988183.The pur...
The purpose of this paper is to prove a characterization of the conditional independence of two inde...
This is the published version, also available here: http://dx.doi.org/10.1214/aop/1176990337.In this...
We consider linear nth order stochastic differential equations on [0, 1], with linear boundary condi...
In this paper we show that the solution of a second-order stochastic differential equation with diff...
This paper deals with the relationship between two-dimensional parameter Gaussian random fields veri...
AbstractAn expression for the strong solution of the linear stochastic differential equation in the ...
We study a class of stochastic differential equations driven by semimartingale with non-Lipschitz co...
In the present paper we study the one-dimensional stochastic difference equation Xn+1 = Xn + f(Xn) +...
We consider a non-Markovian optimal stopping problem on finite horizon. We prove that the value proc...
AbstractLet B be a 2-parameter Brownian motion on R+2. Consider the non-Markovian stochastic differe...
In the present paper we study the one-dimensional stochastic difference equation x(n + 1) = X(n) + f...
We study existence and uniqueness of solutions for second order ordinary stochastic differential equ...