16 citations · 22 across the 15 of their papers we have counts for
17 papers
Models for species evolution with random deaths
Peter Braunsteins, Joseph Rolfe
We consider three discrete-time models for species evolution. In all three models, at each time step , with probability , a species is born with an independent $\text{Uniform…
Estimating Graph Dynamics from Population Observations
Peter Braunsteins, Michel Mandjes, Florian Montalescot
In this paper we consider a population process evolving on a dynamic random graph. The dynamic random graph is an Erdős--Rényi graph that is resampled every time unit, independentl…
Infection models on dense dynamic random graphs
Simone Baldassarri, Peter Braunsteins, Frank den Hollander +1
We consider Susceptible-Infected-Recovered (SIR) models on dense dynamic random graphs, in which the joint dynamics of vertices and edges are co-evolutionary, i.e., they influence…
Intrinsic Whittle--Matérn fields and sparse spatial extremes
David Bolin, Peter Braunsteins, Sebastian Engelke +1
Intrinsic Gaussian fields are used in many areas of statistics as models for spatial or spatio-temporal dependence, or as priors for latent variables. However, there are two major…
Existence and non-existence of consistent estimators in supercritical controlled branching processes
Peter Braunsteins, Sophie Hautphenne, James Kerlidis
We consider the problem of estimating the parameters of a supercritical controlled branching process consistently from a single observed trajectory of population size counts. Our g…
Opinion dynamics on dense dynamic random graphs
Simone Baldassarri, Peter Braunsteins, Frank den Hollander +1
We consider two-opinion voter models on dense dynamic random graphs. Our goal is to understand and describe the occurrence of consensus versus polarisation over long periods of tim…