Conveners
Probability and Statistics
- Federica Caforio (University of Graz)
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Agnes Mallinger (Johannes Kepler University)27/02/2026, 09:30Contributed Talk
Piecewise diffusion Markov processes (PDifMPs) form a versatile class of stochastic hybrid systems that combine continuous diffusion processes with discrete event-driven dynamics, enabling flexible modelling of complex real-world hybrid phenomena. The practical utility of PDifMP models, however, depends critically on accurate estimation of their underlying parameters. In this work, we present...
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Katharina Schuh27/02/2026, 09:50Contributed Talk
In this talk, we study the long-time behaviour of second-order Langevin dynamics and establish global contraction in an $L^1$-Wasserstein distance with an explicit dimension-free rate. The contraction result is not restricted to forces corresponding to strongly convex confining potentials. It rather includes multi-well potentials and non-gradient-type forces. In the proof, we use a coupling...
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Amira Meddah (Johannes Kepler University, Linz, Austria)27/02/2026, 10:10Contributed Talk
Piecewise Diffusion Markov Processes (PDifMPs) are valuable for modelling systems where continuous dynamics are interrupted by sudden shifts and/or changes in drift and diffusion. The first-passage time (FPT) in such models plays a central role in understanding when a process first reaches a critical boundary. In many systems, time-dependent thresholds provide a flexible framework for...
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