Archive: Stochastik Rhein-Main

05.12.2024 Oberseminar Darmstadt

Tobias Schmidt (TU Darmstadt)

Enhanced binding of a quantum particle coupled to a scalar quantized field

07.07.2017 Rhein-Main-Kolloquium

Mikhail Lifshits ((St. Petersburg))

Energy saving approximation of random processes.

28.01.2017 Oberseminar Mainz

Marcel Ortgiese (University of Bath)

Ein Vortrag im OS Mainz

20.09.2018 Oberseminar Darmstadt

Dr. Benedikt Jahnel (WIAS Berlin)

Dynamical Gibbs-non-Gibbs transitions for the continuum Widom-Rowlinson model

07.11.2024 Oberseminar Darmstadt

Noemi Kurt (Goethe-Universität Frankfurt)

Dormancy in population genetics and interacting particle systems

18.07.2024 Oberseminar Darmstadt

Jakob Björnberg (Universität Göteborg)

Dimerisation in mirror models and quantum spin chains

16.05.2017 Stochastik-Kolloquium Frankfurt

Prof. Dr. Sylvie Roelly (Universität Potsdam)

Die Renaissance des Werkes des Mathematikers Vincent Doeblin

20.02.2019 Stochastik-Kolloquium Frankfurt

Detecting Joint Pauses in Parallel Point Processes

01.12.2022 Oberseminar Darmstadt

Dimitrios Tsagkarogiannis (Università degli Studi dell´Aquila)

Density functionals for inhomogeneous systems

22.01.2020 Stochastik-Kolloquium Frankfurt

Crossing a fitness valley as a metastable transition in a stochastic population model

07.05.2019 Oberseminar Mainz, Rhein-Main-Kolloquium

Cornelia Pokalyuk ((Goethe-Universität Frankfurt/Main))

Cornelia Pokalyuk (Goethe-Universität Frankfurt/Main) TBA

16.05.2024 Oberseminar Darmstadt

Mark Sellke (Harvard University)

Confinement of Unimodal Probability Distributions and an FKG-Gaussian Correlation Inequality

27.06.2024 Oberseminar Darmstadt

David Heson (Mississippi State University)

Computational Methods for Analyzing 1-Dimensional Heisenberg Spin Rings and Similar Systems

18.07.2023 Oberseminar Mainz

Andreas Klippel (TU Darmstadt)

Comparison of the random loop model to percolation and infinite loops in the random link model

24.10.2024 Oberseminar Darmstadt

Benjamin Lees (University of Leeds)

Combinatorial identities from an inhomogeneous Ising chain

10.05.2017 Stochastik-Kolloquium Frankfurt

Prof. Dr. Hsien-Kuei Hwang (Academia Sinica, Taipeh)

Coin-tossing in Algorithmics

04.07.2017 Oberseminar Mainz

Roger Tribe (University of Warwick)

Coalescing Random Walks and related models

26.11.2024 Oberseminar Mainz

Reinhard Höpfner (Johannes Gutenberg-Universität JGU Mainz)

Circuits von Hodgkin-Huxley-Neuronen

29.11.2018 Oberseminar Darmstadt

Prof. Dr. Leif Döring (Universität Mannheim)

Boundary behaviour for stable jump diffusions

06.06.2024 Stochastik-Kolloquium Frankfurt

B cell phylodynamics and mean-field multi-type birth and death processes

No knowledge of biology will be necessary to understand this talk. Germinal centers (GC) are micro-anatomical structures that transiently form in lymph nodes during an adaptive immune response. In a GC, B cells—the cells that make antibodies—diversify and compete based on the ability of the antibodies they express to recognize a foreign antigen molecule. As GC B cells proliferate, they undergo targeted mutations in the genomic locus encoding the antibody protein that can modify its antigen binding affinity. Via signaling from other GC cell types, the GC can monitor the binding phenotype of the B cell population it contains and provide survival signals to B cells with the highest-affinity antibodies (i.e., birth and death rates depend on type). Motivated by this mechanism, we develop a mean-field model that couples the birth and death rates in a focal multi-type birth and death process (MTBDP) with D types to the empirical distribution of states—i.e., the mean-field over an exchangeable system of N replica MTBDPs. The empirical distribution process of the N replicas converges to a deterministic probability measure-valued flow as N goes to infinity. In the limit, the focal process evolves as a multi-type birth and death process with rates governed by the probability measure-valued flow which is in turn the flow of one-dimensional marginal distributions of the focal process. Individual focal processes become independent in the limit and this holds out the hope of inference being feasible for this model. This is joint work with William S. DeWitt, Ella Hiesmayr, and Sebastian Hummel. Read more

Events archive

Events

Enhanced binding of a quantum particle coupled to a scalar quantized field

Energy saving approximation of random processes.

Ein Vortrag im OS Mainz

Dynamical Gibbs-non-Gibbs transitions for the continuum Widom-Rowlinson model

Dormancy in population genetics and interacting particle systems

Dimerisation in mirror models and quantum spin chains

Die Renaissance des Werkes des Mathematikers Vincent Doeblin

Detecting Joint Pauses in Parallel Point Processes

Density functionals for inhomogeneous systems

Crossing a fitness valley as a metastable transition in a stochastic population model

Cornelia Pokalyuk (Goethe-Universität Frankfurt/Main) TBA

Confinement of Unimodal Probability Distributions and an FKG-Gaussian Correlation Inequality

Computational Methods for Analyzing 1-Dimensional Heisenberg Spin Rings and Similar Systems

Comparison of the random loop model to percolation and infinite loops in the random link model

Combinatorial identities from an inhomogeneous Ising chain

Coin-tossing in Algorithmics

Coalescing Random Walks and related models

Circuits von Hodgkin-Huxley-Neuronen

Boundary behaviour for stable jump diffusions

B cell phylodynamics and mean-field multi-type birth and death processes

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