M
Markus Fischer
Researcher at University of Padua
Publications - 48
Citations - 1258
Markus Fischer is an academic researcher from University of Padua. The author has contributed to research in topics: Nash equilibrium & Stochastic differential equation. The author has an hindex of 19, co-authored 46 publications receiving 1076 citations. Previous affiliations of Markus Fischer include Heidelberg University & Humboldt University of Berlin.
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On the connection between symmetric $N$-player games and mean field games
TL;DR: In this paper, the authors identify limit points of sequences of certain approximate Nash equilibria as solutions to mean field games for problems with Ito-type dynamics and costs over a finite time horizon.
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Large deviation properties of weakly interacting processes via weak convergence methods
TL;DR: In this article, the authors derived a large deviation principle via the weak convergence approach for systems of weakly interacting particles modeled by stochastic differential equations (SDEs), which is based on a representation theorem and weak convergence.
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HBx protein of hepatitis B virus interacts with the C-terminal portion of a novel human proteasome alpha-subunit
TL;DR: By binding to a specific proteasome alpha-subunit, HBx might interfere with degradative processes, thereby enhancing the half-life of different transcription factors and other nuclear regulatory proteins.
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On the Moments of the Modulus of Continuity of Itô Processes
Markus Fischer,Giovanna Nappo +1 more
TL;DR: In this paper, the modulus of continuity of a stochastic process is defined as a random element for any fixed mesh size, and the convergence rate of Euler-Maruyama schemes with uniformly bounded coefficients is analyzed.
Journal ArticleDOI
Large deviation properties of weakly interacting processes via weak convergence methods
TL;DR: In this paper, the authors derived a large deviation principle via the weak convergence approach for systems of weakly interacting particles modeled by stochastic differential equations (SDEs), which is based on a representation theorem and weak convergence.