The paper deals with the asymptotic behavior of the bridge of a Gaussian process conditioned to stay in it fixed points at n fixed past instants. In particular, functional large deviation results are stated for small time. Several examples are considered: integrated or not fractional Brownian motions and m-fold integrated Brownian motion. As an application, the asymptotic behavior of the exit probability is studied and used for the practical purpose of the numerical computation, via Monte Carlo methods, of the hitting probability up to a given time of the unpinned process
In this paper we present asymptotic estimates of level crossing probabilities from a Bayesian point ...
Consider events of the form {Zs ≥ ζ (s),s ∈ S}, where Z is a continuous Gaussian process with statio...
In this paper we present asymptotic results for exit probabilities of stochastic processes in the f...
The paper deals with the asymptotic behavior of the bridge of a Gaussian process conditioned to stay...
We state large deviations for small time of a pinned n-conditional Gaussian process, i.e. the bridge...
We study the asymptotic behavior of a Gaussian process conditioned to n linear functionals of its pa...
The problem of (pathwise) large deviations for conditionally continuous Gaussian processes is invest...
The main results in this paper concern large deviations for families of non-Gaussian processes obtai...
AbstractLet Y1, Y2, … be a stochastic process and M a positive real number. Define the level crossin...
This thesis consists of a summary and five papers, dealing with the modeling of Gaussian bridges and...
In this articlewe investigate a problem of large deviations for continuous Gaussian Volterra proces...
Let X be a jump diffusion, then its reflection at the boundaries 0 and b > 0 forms the process V . T...
Abstract Consider events of the form {Zs≥ζ(s),sset membership, variantS}, where Z is a continuous Ga...
AbstractConsider events of the form {Zs≥ζ(s),s∈S}, where Z is a continuous Gaussian process with sta...
In this paper we present asymptotic estimates of level crossing probabilities from a Bayesian point ...
Consider events of the form {Zs ≥ ζ (s),s ∈ S}, where Z is a continuous Gaussian process with statio...
In this paper we present asymptotic results for exit probabilities of stochastic processes in the f...
The paper deals with the asymptotic behavior of the bridge of a Gaussian process conditioned to stay...
We state large deviations for small time of a pinned n-conditional Gaussian process, i.e. the bridge...
We study the asymptotic behavior of a Gaussian process conditioned to n linear functionals of its pa...
The problem of (pathwise) large deviations for conditionally continuous Gaussian processes is invest...
The main results in this paper concern large deviations for families of non-Gaussian processes obtai...
AbstractLet Y1, Y2, … be a stochastic process and M a positive real number. Define the level crossin...
This thesis consists of a summary and five papers, dealing with the modeling of Gaussian bridges and...
In this articlewe investigate a problem of large deviations for continuous Gaussian Volterra proces...
Let X be a jump diffusion, then its reflection at the boundaries 0 and b > 0 forms the process V . T...
Abstract Consider events of the form {Zs≥ζ(s),sset membership, variantS}, where Z is a continuous Ga...
AbstractConsider events of the form {Zs≥ζ(s),s∈S}, where Z is a continuous Gaussian process with sta...
In this paper we present asymptotic estimates of level crossing probabilities from a Bayesian point ...
Consider events of the form {Zs ≥ ζ (s),s ∈ S}, where Z is a continuous Gaussian process with statio...
In this paper we present asymptotic results for exit probabilities of stochastic processes in the f...