107 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR169 papers
- Université Savoie Mont BlancFR162 papers
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR85 papers
- Institut National des Sciences Mathématiques et de leurs InteractionsFR69 papers
- Laboratoire de Mathématiques Blaise PascalFR33 papers
- Laboratoire Jean-Alexandre DieudonnéFR21 papers
- Laboratoire Optimisation de la Conception et Ingénierie de l'EnvironnementFR21 papers
- Université Grenoble AlpesFR19 papers
- Université Paris-Est CréteilFR19 papers
- University College DublinIE17 papers
- Université Nice Sophia AntipolisFR16 papers
- Pontifícia Universidade Católica do ParanáBR15 papers
7 papers · 2 filters
Strong well-posedness of McKean-Vlasov stochastic differential equation with H{ö}lder drift
Paul-Eric Chaudru de Raynal
In this paper, we prove pathwise uniqueness for stochastic systems of McKean-Vlasov type with singular drift, even in the measure argument, and uniformly non-degenerate Lipschitz d…
Persistent random walks
Peggy Cénac, Basile De Loynes, Arnaud Le Ny +1
We consider a walker that at each step keeps the same direction with a probabilitythat depends on the time already spent in the direction the walker is currently moving. In this pa…
Characterization of a class of weak transport-entropy inequalities on the line
Nathael Gozlan, Cyril Roberto, Paul-Marie Samson +2
We study an optimal weak transport cost related to the notion of convex order between probability measures. On the real line, we show that this weak transport cost is reached for a…
Stochastic Coalescence Multi-Fragmentation Processes
Eduardo Cepeda
We study infinite systems of particles which undergo coalescence and fragmentation, in a manner determined solely by their masses. A pair of particles having masses and coa…
An asymptotic shape theorem for additive random linear growth models
Aurelia Deshayes, Pierrick Siest
In this paper, we define a class of additive random growth models whose growth is at least and at most linear and prove an asymptotic shape theorem for these models. This proof gen…
Simulation of BSDEs with jumps by Wiener Chaos Expansion
Christel Geiss, Céline Labart
We present an algorithm to solve BSDEs with jumps based on Wiener Chaos Expansion and Picard's iterations. This paper extends the results given in Briand-Labart (2014) to the case…
Reflected scheme for doubly reflected BSDEs with jumps and RCLL obstacles
Roxana Dumitrescu, Céline Labart
We introduce a discrete time reflected scheme to solve doubly reflected Backward Stochastic Differential Equations with jumps (in short DRBSDEs), driven by a Brownian motion and an…