Matthew I. Roberts
Engineering and Physical Sciences Research Council
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Featured researches published by Matthew I. Roberts.
Annales De L Institut Henri Poincare-probabilites Et Statistiques | 2017
Simon C. Harris; Matthew I. Roberts
We develop a simple and intuitive identity for calculating expectations of weighted k-fold sums over particles in branching processes, generalising the well-known many-to-one lemma.
Annals of Probability | 2013
Matthew I. Roberts
We give short proofs of two classical results about the position of the extremal particle in a branching Brownian motion, one concerning the median position and another the almost sure behaviour.
arXiv: Probability | 2013
Leif Döring; Matthew I. Roberts
In this article we contribute to the moment analysis of branching processes in catalytic media. The many-to-few lemma based on the spine technique is used to derive a system of (discrete space) partial differential equations for the number of particles in a variation of constants formulation. The long-time behaviour is then deduced from renewal theorems and induction.
Electronic Journal of Probability | 2017
Marcel Ortgiese; Matthew I. Roberts
We consider a branching random walk on the lattice, where the branching rates are given by an i.i.d. Pareto random potential. We show a very strong form of intermittency, where with high probability most of the mass of the system is concentrated in a single site with high potential. The analogous one-point localization is already known for the parabolic Anderson model, which describes the expected number of particles in the same system. In our case, we rely on very fine estimates for the behaviour of particles near a good point. This complements our earlier results that in the rescaled picture most of the mass is concentrated on a small island.
Electronic Communications in Probability | 2013
Matthew I. Roberts; Lee Zhuo Zhao
We consider a regular
Annales De L Institut Henri Poincare-probabilites Et Statistiques | 2012
Simon C. Harris; Matthew I. Roberts
n
Annals of Probability | 2016
Marcel Ortgiese; Matthew I. Roberts
-ary tree of height
arXiv: Probability | 2012
Simon C. Harris; Matthew I. Roberts
h
Journal of Statistical Physics | 2017
Louigi Addario-Berry; Matthew I. Roberts
, for which every vertex except the root is labelled with an independent and identically distributed continuous random variable. Taking motivation from a question in evolutionary biology, we consider the number of simple paths from the root to a leaf along vertices with increasing labels. We show that if
arXiv: Probability | 2014
Marcel Ortgiese; Matthew I. Roberts
\alpha = n/h