62 citations
- Université de RennesFR10 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Laboratoire de Mathématiques Blaise PascalFR4 papers
- Laboratoire Analyse, Géométrie et ApplicationsFR2 papers
- Laboratoire de Mathématiques Appliquées du HavreFR2 papers
- Université Le Havre NormandieFR2 papers
- Ben-Gurion University of the NegevIL1 paper
- Centre de Recherche en Économie et StatistiqueFR1 paper
- École Normale Supérieure Paris-SaclayFR1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Hebrew University of JerusalemIL1 paper
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR1 paper
8 papers · 1 filter
Convergence of values in optimal stopping and convergence of optimal stopping times
François Coquet, Sandrine Toldo
Under the hypothesis of convergence in probability of a sequence of càdlàg processes to a càdlàg process , we are interested in the convergence of corresponding value…
Stability of solutions of BSDEs with random terminal time
Sandrine Toldo
In this paper, we study the stability of the solutions of Backward Stochastic Differential Equations (BSDE for short) with an almost surely finite random terminal time. More precis…
Tail of a linear diffusion with Markov switching
Benoite de Saporta, Jian-Feng Yao
Let Y be an Ornstein-Uhlenbeck diffusion governed by a stationary and ergodic Markov jump process X: dY_t=a(X_t)Y_t dt+σ(X_t) dW_t, Y_0=y_0. Ergodicity conditions for Y have been o…
Convergence of values in optimal stopping
Sandrine Toldo
Under the hypothesis of convergence in probability of a sequence of càdlàg processes to a càdlàg process , we are interested in the convergence of corresponding values…
Ergodicity for the stochastic Complex Ginzburg-Landau equations
Cyril Odasso
We study a stochastic complex Ginzburg--Landau (CGL) equation driven by a smooth noise in space and we establish exponential convergence of the Markovian transition semi-group towa…
Natural decomposition of processes and weak Dirichlet processes
Francois Coquet, Adam Jakubowski, Jean Memin +1
A class of stochastic processes, called "weak Dirichlet processes", is introduced and its properties are investigated in detail. This class is much larger than the class of Dirichl…