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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Parameter inference\, model error and the goals of
calibration - Daniel Williamson (University of Ex
eter)
DTSTART;TZID=Europe/London:20180411T113000
DTEND;TZID=Europe/London:20180411T120000
UID:TALK103648AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/103648
DESCRIPTION:I have some data\, a mathematical model describing
a process in the real world that produced that da
ta and I would like to learn something about the r
eal world. We would typically formulate this as an
inverse problem and apply our favourite technique
s for solving it (e.g. Bayesian calibration or his
tory matching)\, ultimately providing inference fo
r those parameters in our mathematical model that
are consistent with the data. Does this make sense
? In this talk\, I will use climate science as a l
ens through which we can look at how mathematical
models are viewed and treated by the scientific co
mmunity\, and consider UQ approaches to inverse pr
oblems and how they might fit and ask whether it m
atters if they don'\;t.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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