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CATEGORIES:DAMTP Statistical Physics and Soft Matter Seminar
SUMMARY:Using Critical Slowing Down to suggest statistical
indicators of disease emergence and elimination -
Louise Dyson\, University of Warwick
DTSTART;TZID=Europe/London:20230307T130000
DTEND;TZID=Europe/London:20230307T140000
UID:TALK193468AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/193468
DESCRIPTION: The theory of critical slowing down observes that
as a steady state changes stability\, its eigenva
lue passes through zero and so perturbations away
from the steady state recover increasingly slowly.
This observation suggests that such transitions m
ay be observed in the statistics of fluctuations i
n noisy timeseries data\, with potential applicati
ons in many fields including epidemiology\, ecolog
y and climate change. Finding and applying robust
statistical indicators that work in practice has p
roven difficult\, however. We investigate such pra
cticalities\, and suggest using an equation free m
ethod to visually inspect the potential surface re
alised by stochastic simulations.
LOCATION:Center for Mathematical Sciences\, Lecture room MR
4
CONTACT:Camille Scalliet
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