Bayesian Filtering for ODEs with Bounded Derivatives

Recently there has been increasing interest in probabilistic solvers for ordinary differential equations (ODEs) that return full probability measures, instead of point estimates, over the solution and can incorporate uncertainty over the ODE at hand, e.g. if the vector field or the initial value is...

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Bibliographische Detailangaben

Hauptverfasser:	Magnani, Emilia, Kersting, Hans, Schober, Michael, Hennig, Philipp
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Numerical Analysis
Online-Zugang:	Volltext bestellen
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