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VERSION:2.0
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CALSCALE:GREGORIAN
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UID:74b22df2-428f-412b-8b75-8cb3aa7c6021@eventxplore
DTSTAMP:20260928T195942Z
DTSTART:20261001T203000Z
DTEND:20261022T213000Z
SUMMARY:Applied Math Colloquium
DESCRIPTION:Speaker: Grigorios Pavliotis (Imperial College) Title: Statistical inverse problems for interacting particle systems and their mean field limit Abstract: We consider the problem of learning interaction kernels from data for stochastic interacting particle systems and their mean-field limit\, described by the McKean–Vlasov PDE. We study two measurement models: observation of a single particle trajectory\, and access to discrete noisy space-time measurements of the solution to the mean-field PDE. We treat both the parametric and fully nonparametric settings. We construct estimators based on the sp
LOCATION:Building 2
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