Archive: Stochastik Rhein-Main

29.05.2020 Rhein-Main-Kolloquium

Giada Basile (Universität Rom)

RMK Frankfurt

29.01.2021 Rhein-Main-Kolloquium

Gábor Lugosi (Department of Economics, Pompeu Fabra University Barcelona)
Po-Ling Loh (University of Cambridge)

RMK Frankfurt - ONLINE

18.05.2018 Rhein-Main-Kolloquium

Michael Scheutzow (TU Berlin)
Friedrich Götze (Universität Bielefeld)

RMK Darmstadt SoSe 2018

22.07.2022 Rhein-Main-Kolloquium

Matthias Hammer (TU Berlin)
Eva Löcherbach (Université de Paris)
Simon Holbach (JGU Mainz)

RMK Mainz 22.07.2022

09.02.2018 Rhein-Main-Kolloquium

Elisabetta Candellero (University Warwick)
Francesco Caravenna (University Milano-Bicocca)

Rhein-Main-Kolloquium

07.12.2018 Rhein-Main-Kolloquium

Dr. Piotr Miłoś (Universität Warschau)
Jakob Björnberg (Universität Göteborg)

RMK Darmstadt

31.01.2020 Rhein-Main-Kolloquium

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

RMK Darmstadt - 31.01.2020

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

Cornelia Pokalyuk (Goethe-Universität Frankfurt/Main) TBA

23.06.2017 Rhein-Main-Kolloquium

Claudia Kirch (Universität Magdeburg)

Frequency domain likelihood approximations for time series bootstrapping and Bayesian nonparametrics

07.07.2023 Rhein-Main-Kolloquium

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

RMKS Frankfurt 7. Juli 2023

11.06.2021 Rhein-Main-Kolloquium

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

RMK Frankfurt - ONLINE

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

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

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. Read more

14.01.2022 Rhein-Main-Kolloquium

René Schilling (TU Dresden)

RMK Mainz ONLINE

27.01.2017 Rhein-Main-Kolloquium

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

RMK Frankfurt Winter 2016/17

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

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)

16.11.2018 Rhein-Main-Kolloquium

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

RMK Mainz

02.02.2024 Rhein-Main-Kolloquium

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

RMKS Frankfurt/Main 02.02.2024

Events archive

Events

RMK Frankfurt

RMK Frankfurt - ONLINE

RMK Darmstadt SoSe 2018

RMK Mainz 22.07.2022

Rhein-Main-Kolloquium

RMK Darmstadt

RMK Darmstadt - 31.01.2020

Cornelia Pokalyuk (Goethe-Universität Frankfurt/Main) TBA

Frequency domain likelihood approximations for time series bootstrapping and Bayesian nonparametrics

RMKS Frankfurt 7. Juli 2023

RMK Frankfurt - ONLINE

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

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

RMK Frankfurt

RMK Mainz ONLINE

RMK Frankfurt Winter 2016/17

RMKS Mainz 03.02.2023

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

RMK Mainz

RMKS Frankfurt/Main 02.02.2024

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