On montre la convergence et un principe de grandes déviations pour une équation différentielle stochastique rétrograde associée à une famille de processus de Markov dont le coefficient de diffusion tend vers 0.We prove the convergence and a large deviation principle for a Backward Stochastic Differential Equation, related to a family of Markov processes, the diffusion coefficient of which tends to 0.ou
This paper proves the large deviation principle for a class of non-degenerate small noise diffusions...
AbstractA large deviation principle is established for stochastic differential equation systems with...
This paper provides a large deviation principle for Non-Markovian, Brownian motion driven stochastic...
In this paper we prove that the solution of a backward stochastic differential equation, which invol...
In this paper we prove that the solution of a backward stochastic differential equation, which invol...
In this paper, a probabilistic interpretation for the viscosity solution of a parabolic partial diff...
AbstractWe study the existence, uniqueness and stability of solutions of backward stochastic differe...
Tese de mestrado em Matemática, apresentada à Universidade de Lisboa, através da Faculdade de Ciênci...
Abstract In this paper, we establish a large deviation principle for a mean reflected stochastic dif...
We derive a large deviation principle which describes the behaviour of a diffusion process with addi...
In this paper, we present a sufficient condition for the large deviation criteria of Budhiraja, Dupu...
We derive a large deviation principle which describes the behaviour of a diffusion process with addi...
We derive a large deviation principle which describes the behaviour of a diffusion process with addi...
[[abstract]]In this paper, we will prove that the solution of stochastic differential equation with ...
Nous étudions l'existence, l'unicité et la stabilité des solutions d'équations différentielles stoch...
This paper proves the large deviation principle for a class of non-degenerate small noise diffusions...
AbstractA large deviation principle is established for stochastic differential equation systems with...
This paper provides a large deviation principle for Non-Markovian, Brownian motion driven stochastic...
In this paper we prove that the solution of a backward stochastic differential equation, which invol...
In this paper we prove that the solution of a backward stochastic differential equation, which invol...
In this paper, a probabilistic interpretation for the viscosity solution of a parabolic partial diff...
AbstractWe study the existence, uniqueness and stability of solutions of backward stochastic differe...
Tese de mestrado em Matemática, apresentada à Universidade de Lisboa, através da Faculdade de Ciênci...
Abstract In this paper, we establish a large deviation principle for a mean reflected stochastic dif...
We derive a large deviation principle which describes the behaviour of a diffusion process with addi...
In this paper, we present a sufficient condition for the large deviation criteria of Budhiraja, Dupu...
We derive a large deviation principle which describes the behaviour of a diffusion process with addi...
We derive a large deviation principle which describes the behaviour of a diffusion process with addi...
[[abstract]]In this paper, we will prove that the solution of stochastic differential equation with ...
Nous étudions l'existence, l'unicité et la stabilité des solutions d'équations différentielles stoch...
This paper proves the large deviation principle for a class of non-degenerate small noise diffusions...
AbstractA large deviation principle is established for stochastic differential equation systems with...
This paper provides a large deviation principle for Non-Markovian, Brownian motion driven stochastic...