1.4k 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 ScientifiqueFR819 papers
- Laboratoire Analyse, Géométrie et ApplicationsFR419 papers
- Laboratoire d'Informatique de Paris-NordFR291 papers
- Sorbonne Paris CitéFR283 papers
- Laboratoire de physique des lasersFR235 papers
- Sorbonne UniversitéFR182 papers
- Université Paris CitéFR178 papers
- Laboratoire des Sciences des Procédés et des MatériauxFR111 papers
- Université Paris-SaclayFR59 papers
- Université Paris-SudFR50 papers
- Université Pierre-et-Marie-CurieFR43 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR37 papers
5 papers · 2 filters
Continuous-state branching processes, extremal processes and super-individuals
Clément Foucart, Chunhua Ma
The long-term behaviors of flows of continuous-state branching processes are characterized through subordinators and extremal processes. The extremal processes arise in the case of…
Second order behavior of the block counting process of beta coalescents
Yier Lin, Bastien Mallein
The Beta coalescents are stochastic processes modeling the genealogy of a population. They appear as the rescaled limits of the genealogical trees of numerous stochastic population…
Scaling limits of Markov-Branching trees and applications
Bénédicte Haas
The goal of these lectures is to survey some of the recent progress on the description of large-scale structure of random trees. We use the framework of Markov-Branching sequences…
The maximal drawdown of the Brownian meander
Yueyun Hu, Zhan Shi, Marc Yor
Motivated by evaluating the limiting distribution of randomly biased random walks on trees, we compute the exact value of a negative moment of the maximal drawdown of the standard…
Improved adaptive Multilevel Monte Carlo and applications to finance
Mohamed Ben Alaya, Kaouther Hajji, Ahmed Kebaier
This paper focuses on the study of an original combination of the Multilevel Monte Carlo method introduced by Giles [10] and the popular importance sampling technique. To compute t…