activity
20032020
most citedRenewal in Hawkes processes with self-excitation and inhibition

48 citations · 104 across the 13 of their papers we have counts for

collaborators

14 papers

q-bio.PE2020★ 2 cited

Bacterial Metabolic Heterogeneity: from Stochastic to Deterministic Models

Carl Graham, Jérôme Harmand, Sylvie Méléard +1

We revisit the modeling of the diauxic growth of a pure microorganism on two distinct sugars which was first described by Monod. Most available models are deterministic and make th…

math.PR2019★ 1 cited

Regenerative properties of the linear hawkes process with unbounded memory

Carl Graham

We prove regenerative properties for the linear Hawkes process under minimal assumptions on the transfer function, which may have unbounded support. These results are applicable to…

math.PR2018★ 48 cited

Renewal in Hawkes processes with self-excitation and inhibition

Manon Costa, Carl Graham, Laurence Marsalle +1

This paper investigates Hawkes processes on the positive real line exhibiting both self-excitation and inhibition. Each point of this point process impacts its future intensity by…

math.PR2015

Cache Miss Estimation for Non-Stationary Request Processes

Felipe Olmos, Carl Graham, Alain Simonian

The aim of the paper is to evaluate the miss probability of a Least Recently Used (LRU) cache, when it is offered a non-stationary request process given by a Poisson cluster point…

cs.NI2010

Self-adaptive congestion control for multi-class intermittent connections in a communication network

Carl Graham, Philippe Robert

A Markovian model of the evolution of intermittent connections of various classes in a communication network is established and investigated. Any connection evolves in a way which…

math.PR2010

The Bounded Confidence Model Of Opinion Dynamics

Javier Gómez-Serrano, Carl Graham, Jean-Yves Le Boudec

The bounded confidence model of opinion dynamics, introduced by Deffuant et al, is a stochastic model for the evolution of continuous-valued opinions within a finite group of peers…