Archiv: Stochastik Rhein-Main

25.01.2019 Rhein-Main-Kolloquium

Antti Knowles (Universitär Genf)
Aernout C. D. van Enter (Universität Groningen)

RMK Frankfurt WiSe 2018/2019

02.02.2024 Rhein-Main-Kolloquium

Peter Mörters (Universität Köln)
Alessandra Bianchi (Università degli Studi di Padova)

RMKS Frankfurt/Main 02.02.2024

23.05.2025 Rhein-Main-Kolloquium

Alessandra Cipriani (University College London)
Martin Slowik (TU Berlin)

RMK Frankfurt

25.04.2025 Rhein-Main-Kolloquium

Benedikt Jahnel (TU Braunschweig)
Alexander Drewitz (Universität zu Köln)

RMK Darmstadt

24.01.2025 Rhein-Main-Kolloquium

Yvan Velenik (Universität Genf)
Alexander Glazman (Universität Innsbruck)

RMK Darmstadt

16.11.2018 Rhein-Main-Kolloquium

Alexander Schnurr (Universität Siegen)
Markus Bibinger (Universität Marburg)

RMK Mainz

15.11.2019 Rhein-Main-Kolloquium

Sarah Penington (Bath)
Amandine Véber (Paris)

RMK 15.11.2019 JGU Mainz: Amandine Véber (Paris) und Sarah Penington (Bath)

03.02.2023 Rhein-Main-Kolloquium

Amaury Lambert (Collège de France und École Normale Supérieure, Paris)
Emmanuel Schertzer (Universität Wien)

RMKS Mainz 03.02.2023

27.01.2017 Rhein-Main-Kolloquium

Amine Asselah (Université Paris-Est)
Yvan Velenik (Universität Genf)

RMK Frankfurt Winter 2016/17

14.01.2022 Rhein-Main-Kolloquium

René Schilling (TU Dresden)

RMK Mainz ONLINE

12.07.2024 Rhein-Main-Kolloquium

Nicolas Champagnat (Nancy)
Anita Winter (Duisburg-Essen)

RMK Frankfurt

The grapheme-valued Wright-Fisher Diffusion with mutation --- In Athreya, den Hollander and Röllin (2021) models from population genetics were used to de fine stochastic dynamics in the space of graphons that arise as continuum limits of dense graph sequencess. In this talk we extend this framework to a model with mutation. In particular, we define a finite graph valued Markov chain that can be associated with the infinite many alleles model, and establish a diffusion limit as the number of vertices goes to infinity. For that we encode finite graphs as graphemes. Graphems are those graphons that can be represented as a triple consisting of a topological vertex space, an adjacency matrix and a sampling measure. The space of graphons is equipped with convergence of sample subgraph densities. (joint work with Andreas Greven, Frank den Hollander and Anton Klimovsky) -------------------------------------------------------------------- Scaling limits of individual-based models in adaptive dynamics and local extinction of populations (N. Champagnat) --- Starting from an individual-based birth-death-mutation-selection model of adaptive dynamics with three scaling parameters (population size, mutation rate, mutation steps size), we will describe several scaling limits that can be applied to this model to obtain macroscopic models of different natures (PDE, Hamilton-Jacobi equation, stochastic adaptive walks, canonical equation of adaptive dynamics), which allow to characterize the long-term evolution of the population. Motivated by biological criticisms on the time-scale of evolution and the absence of local extinctions in the obtained macroscopic models, we propose new parameter scalings under which we can characterize the evolution of population sizes of the order of $K^\beta$, where $K$ is the order of magnitude of the total population size, and which allows for local extinction of subpopulations. This presentation will gather results obtained with several collaborators: Régis Ferrière, Sylvie Méléard, Amaury Lambert, Viet Chi Tran, Sepideh Mirrahimi, Vincent Hass. weiterlesen

15.11.2024 Rhein-Main-Kolloquium

Christina Goldschmidt (University of Oxford)
Benedikt Stufler (TU Wien)

RMK Frankfurt

23.06.2017 Rhein-Main-Kolloquium

Carsten Jentsch (Universität Mannhein)

Statistical inference on party positions from texts: statistical modeling, bootstrap and adjusting for time effects

24.05.2019 Rhein-Main-Kolloquium

Roland Bauerschmidt (University of Cambridge)
Chiranjib Mukherjee (Universität Münster)

Roland Bauerschmidt: Dynamics of strongly correlated spin systems | Chiranjib Mukherjee: Gaussian multiplicative chaos in the Wiener space

11.06.2021 Rhein-Main-Kolloquium

Gaultier Lambert (Universität Zürich)
Christian Brennecke (Harvard University)

RMK Frankfurt - ONLINE

17.01.2025 Rhein-Main-Kolloquium

Christian Mönch (JGU Mainz)
David Belius (UniDistance Suisse)

RMK Mainz 17.01.2025

07.07.2023 Rhein-Main-Kolloquium

Christoph Czichowsky (London School of Economics and Political Science)
David Prömel (Universität Mannheim)

RMKS Frankfurt 7. Juli 2023

23.06.2017 Rhein-Main-Kolloquium

Claudia Kirch (Universität Magdeburg)

Frequency domain likelihood approximations for time series bootstrapping and Bayesian nonparametrics

07.05.2019 Oberseminar Mainz, Rhein-Main-Kolloquium

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

Cornelia Pokalyuk (Goethe-Universität Frankfurt/Main) TBA

31.01.2020 Rhein-Main-Kolloquium

Sabine Jansen (LMU München)
Dimitrios Tsagkarogiannis (Università degli Studi dell´Aquila)

RMK Darmstadt - 31.01.2020

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RMK Frankfurt WiSe 2018/2019

RMKS Frankfurt/Main 02.02.2024

RMK Frankfurt

RMK Darmstadt

RMK Darmstadt

RMK Mainz

RMK 15.11.2019 JGU Mainz: Amandine Véber (Paris) und Sarah Penington (Bath)

RMKS Mainz 03.02.2023

RMK Frankfurt Winter 2016/17

RMK Mainz ONLINE

RMK Frankfurt

RMK Frankfurt

Statistical inference on party positions from texts: statistical modeling, bootstrap and adjusting for time effects

Roland Bauerschmidt: Dynamics of strongly correlated spin systems | Chiranjib Mukherjee: Gaussian multiplicative chaos in the Wiener space

RMK Frankfurt - ONLINE

RMK Mainz 17.01.2025

RMKS Frankfurt 7. Juli 2023

Frequency domain likelihood approximations for time series bootstrapping and Bayesian nonparametrics

Cornelia Pokalyuk (Goethe-Universität Frankfurt/Main) TBA

RMK Darmstadt - 31.01.2020

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