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State-space models as graphs
Víctor Elvira, University of Edinburgh 2.28.0.10810:15 - 11:45
Modeling and inference in multivariate time series is central in statistics, signal processing, and machine learning. A fundamental question when…
more ›Bayesian chemotaxis: Information theory of chemotaxis agents combining spatial and temporal gradient-sensing
Benjamin M. Friedrich, TU Dresden 2.28.0.10810:15 - 11:45
Biological systems process information despite noise-corrupted input, often operating at physical limits. A prime example is chemotaxis, i.e., active…
more ›Who's going to win? Modelling elections with an adapted Hegselmann-Krause model and data assimilation.
Patrick Cahill , University of Sydney 2.9.2.2214:00 - 16:00
Modelling the opinions of voters in a population has been studied for a long time. The Hegselmann-Krause model treats voters as having a continuous…
more ›Spring School 2025
Hotel am Schlosspark Güstrow24.03.-28.03.2025
The annual SFB Spring School 2025 will take place from March 24th to 28th (arrival on March 23rd) at the Hotel am Schlosspark Güstrow.
All members of…
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