We observe that the probability distribution of the Brownian motion with drift −cx/(1−t) where c≠1 is singular with respect to that of the classical Brownian bridge measure on [0,1], while their Cameron\tire Martin spaces are equal set-wise if and only if c>1/2, providing also examples of exponential martingales on [0,1) not extendable to a continuous martingale on [0,1]. Other examples of generalised Brownian bridges are also studied
Firstly, we provide simple elementary proofs to derive the exact distributions of the areas under fu...
A Markovian bridge is a probability measure taken from a disintegration of the law of an initial par...
In this paper we consider non-intersecting Brownian bridges, under fairly general upper and lower bo...
A conditioned hypoelliptic process on a compact manifold, satisfying the strong Hörmander’s conditio...
We define a generalized Brownian bridge and we provide some information about its filtration. Two de...
A generalized bridge is a stochastic process that is conditioned on N linear functionals of its path...
AbstractA generalized bridge is a stochastic process that is conditioned on N linear functionals of ...
AbstractWe give an exposition of Brownian motion and the Brownian bridge, both continuous and discre...
Let X be a Markov process taking values in E with continuous paths and transition function (Ps,t).Gi...
This thesis consists of a summary and five papers, dealing with the modeling of Gaussian bridges and...
We introduce and study Brownian bridges to submanifolds. Our method involves proving a general formu...
In this paper we consider families of time Markov fields (or reciprocal classes) which have the same...
We introduce and study submanifold bridge processes. Our method involves proving a general formula f...
AbstractThe necessary and sufficient condition for a function to be upper class relative to a Browni...
International audienceWe show that the range of a long Brownian bridge in the hyperbolic space conve...
Firstly, we provide simple elementary proofs to derive the exact distributions of the areas under fu...
A Markovian bridge is a probability measure taken from a disintegration of the law of an initial par...
In this paper we consider non-intersecting Brownian bridges, under fairly general upper and lower bo...
A conditioned hypoelliptic process on a compact manifold, satisfying the strong Hörmander’s conditio...
We define a generalized Brownian bridge and we provide some information about its filtration. Two de...
A generalized bridge is a stochastic process that is conditioned on N linear functionals of its path...
AbstractA generalized bridge is a stochastic process that is conditioned on N linear functionals of ...
AbstractWe give an exposition of Brownian motion and the Brownian bridge, both continuous and discre...
Let X be a Markov process taking values in E with continuous paths and transition function (Ps,t).Gi...
This thesis consists of a summary and five papers, dealing with the modeling of Gaussian bridges and...
We introduce and study Brownian bridges to submanifolds. Our method involves proving a general formu...
In this paper we consider families of time Markov fields (or reciprocal classes) which have the same...
We introduce and study submanifold bridge processes. Our method involves proving a general formula f...
AbstractThe necessary and sufficient condition for a function to be upper class relative to a Browni...
International audienceWe show that the range of a long Brownian bridge in the hyperbolic space conve...
Firstly, we provide simple elementary proofs to derive the exact distributions of the areas under fu...
A Markovian bridge is a probability measure taken from a disintegration of the law of an initial par...
In this paper we consider non-intersecting Brownian bridges, under fairly general upper and lower bo...