• Conferences

    TITLE Spring School
    SPEAKER(S) check website
    TIME 25 February - 1 March 2019
    LOCATION building S2 07, Hochschulstraße 6, 64289 Darmstadt
    ABSTRACT The detailed programme will be announced at the beginning of 2019.                                                                     

    TITLE Branching in Innsbruck
    SPEAKER(S) check website
    TIME 23 September -  26 September 2019
    ABSTRACT The goal of this conference is to bring together young and senior researchers working in the field of branching processes, with a special focus on branching random walks and branching Brownian motion. We aim to create a stimulating atmosphere for the exchange of ideas and to foster new collaborations. There will be plenty of time for discussions.

  • Research Seminar & Colloquium

    TITLE Branching random walks and the Fisher-KPP equation
    SPEAKER Alexander Drewitz
    TIME 24 January 2019, 5:00 pm
    LOCATION Universität zu Köln, Vortrag im Kolloquium

    Branching random walks and branching Brownian motion are stochastic processes which have been receiving a lot of attention during the last couple of decades. They appear in a variety of more applied sciences (such as biology, statistical mechanics, and computer science) and exhibit deep connections to partial differential equations.

    We will provide a survey of some classical results and discuss the interesting effects of extensions to spatially heterogeneous branching rates.


  •  Past Events


    Research Seminar

    21 June 2018: Dr. Christian Mönch - Large deviations and distances in the spatial preferential attachment model

    TITLE Large deviations and distances in the spatial preferential attachment model
    SPEAKER Dr. Christian Mönch (Universität Mannheim)
    TIME Thursday, 21 June 2018, 4:15 pm
    LOCATION Campus Technik, Seminarraum Mathematik 734 (Mathematik)
    ABSTRACT Preferential attachment models are self-reinforced growth models for complex networks. Recently, there has been much interest in developing PA models for networks embeded into some underlying geometric space. For one such model, proposed by Jacob and Mörters, I will discuss a Large Deviation principle for empirical vertex neighbourhoods and the asymptotics of the distance of two typical vertices in the giant component. The talk is based on joint work with Christian Hirsch (Aalborg).                                                    





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