3 papers
math.ST2024
Community detection for binary graphical models in high dimension
Julien Chevallier, Guilherme Ost
Let components be partitioned into two communities, denoted and , possibly of different sizes. Assume that they are connected via a directed and weight…
math.ST2024
Inferring the dependence graph density of binary graphical models in high dimension
Julien Chevallier, Eva Löcherbach, Guilherme Ost
We consider a system of binary interacting chains describing the dynamics of a group of components that, at each time unit, either send some signal to the others or remain sile…
math.PR2017
Mean field limits for nonlinear spatially extended hawkes processes with exponential memory kernels
Julien Chevallier, A Duarte, E Löcherbach +1
We consider spatially extended systems of interacting nonlinear Hawkes processes modeling large systems of neurons placed in Rd and study the associated mean field limits. As the t…