Let be a one-parameter family of positive integral operators on a locally compact space . For a possibly non-uniform partition of define a finite measure on the path space by using a) for the transition between any two consecutive partition times of distance and b) a suitable continuous interpolation scheme (e.g. Brownian bridges or geodesics). If necessary normalize the result to get a probability measure. We prove a version of Chernoff's theorem of semigroup theory and tightness results which yield convergence in law of such measures as the partition gets finer. In particular let be a closed smooth submanifold of a manifold . We prove convergence of Brownian motion on , conditioned to visit at all partition times, to a process on whose la...
The purpose of this paper is to construct a Brownian motion X_t taking values in a Riemannian manif...
Abstract. It is shown that every Lévy process on a locally compact group G is determined by a seque...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
Let be a one-parameter family of positive integral operators on a locally compact space . For a poss...
This is a study of the distance between a Brownian motion and a submanifold of a complete Riemannian...
We introduce and study Brownian bridges to submanifolds. Our method involves proving a general formu...
It is shown that every L´evy process on a locally compact group G is determined by a sequence of one...
Let $L$L be a submanifold of a Riemannian manifold $M$M. The authors discuss several ways to constru...
We introduce and study submanifold bridge processes. Our method involves proving a general formula f...
We construct the surface measure on the space C([0,1],M) of paths in a compact Riemannian manifold M...
In this article, we generalize Wiener\u27s existence result for one-dimensional Brownian motion by c...
This thesis discusses an approach to define surface measures on the path spaces of Riemannian subman...
Chernoff approximations of Feller semigroups and the associated diffusion processes in Riemannian ma...
In this report we study Markov processes on compact and connected Riemannian manifolds. We define a ...
International audienceWe develop a new technique for the path approximation of one-dimensional stoch...
The purpose of this paper is to construct a Brownian motion X_t taking values in a Riemannian manif...
Abstract. It is shown that every Lévy process on a locally compact group G is determined by a seque...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
Let be a one-parameter family of positive integral operators on a locally compact space . For a poss...
This is a study of the distance between a Brownian motion and a submanifold of a complete Riemannian...
We introduce and study Brownian bridges to submanifolds. Our method involves proving a general formu...
It is shown that every L´evy process on a locally compact group G is determined by a sequence of one...
Let $L$L be a submanifold of a Riemannian manifold $M$M. The authors discuss several ways to constru...
We introduce and study submanifold bridge processes. Our method involves proving a general formula f...
We construct the surface measure on the space C([0,1],M) of paths in a compact Riemannian manifold M...
In this article, we generalize Wiener\u27s existence result for one-dimensional Brownian motion by c...
This thesis discusses an approach to define surface measures on the path spaces of Riemannian subman...
Chernoff approximations of Feller semigroups and the associated diffusion processes in Riemannian ma...
In this report we study Markov processes on compact and connected Riemannian manifolds. We define a ...
International audienceWe develop a new technique for the path approximation of one-dimensional stoch...
The purpose of this paper is to construct a Brownian motion X_t taking values in a Riemannian manif...
Abstract. It is shown that every Lévy process on a locally compact group G is determined by a seque...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...