activity
20112021
most citedThe Lamperti representation of real-valued self-similar Markov processes

51 citations · 54 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2021

A lifetime of excursions through random walks and Lévy processes

Loïc Chaumont, Andreas Kyprianou

In celebration of Professor Ron Doney's 80th birthday, we provide a summary of his academic career and contributions to probability theory, as one of the UK's leading probabilists…

math.PR2017

Space and time inversions of stochastic processes and Kelvin transform

Larbi Alili, Loïc Chaumont, Piotr Graczyk +1

Let be a standard Markov process. We prove that a space inversion property of implies the existence of a Kelvin transform of -harmonic, excessive and operator-harmonic f…

math.PR2014★ 3 cited

Shifting processes with cyclically exchangeable increments at random

Loïc Chaumont, Gerónimo Uribe Bravo

We propose a path transformation which applied to a cyclically exchangeable increment process conditions its minimum to belong to a given interval. This path transformation is then…

math.PR2013

Coding multitype branching forests: application to the law of the total progeny of branching forest and to enumerations

Loïc Chaumont, Rongli Liu

By extending the breadth first search algorithm to any d-type critical or subcritical irreducible branching forest, we show that such forests may be encoded through d independent,…

math.PR2012

An invariance principle for random walk bridges conditioned to stay positive

Francesco Caravenna, Loïc Chaumont

We prove an invariance principle for the bridge of a random walk conditioned to stay positive, when the random walk is in the domain of attraction of a stable law, both in the disc…

math.PR2011★ 51 cited

The Lamperti representation of real-valued self-similar Markov processes

Loïc Chaumont, Henry Pantí, Víctor Rivero

In this paper, we obtain a Lamperti type representation for real-valued self-similar Markov processes, killed at their hitting time of zero. Namely, we represent real-valued self-s…