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SUMMARY; CHARSET=UTF-8 :Statistics and Data Science seminar: Some Recent, and Rediscovered, Developments in Bayes Linear Statistics
UID:exeter_event_14136
URL:http://www.exeter.ac.uk/events/details/?event=14136
DTSTART;VALUE=DATE:20240828T130000
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ORGANIZER: MAILTO:s.siegert@exeter.ac.uk
ATTACH: http://www.exeter.ac.uk/events/details/?event=14136
DTSTAMP:20240724T110236
LOCATION:Harrison Building 215 
DESCRIPTION; CHARSET=UTF-8 :Bayes linear statistics eschews probabilistic assumptions and instead poses the statistical inference problem by viewing expectation, rather than probability, as the fundamental unit of belief. Bayes linear analysis can be much faster than a similar probabilistic analysis and implies a simpler specification of prior quantities. In this presentation I will examine some recent developments that attempt to argue for the role of Bayes linear statistics in the modern statistician’s toolbox. Examples will be provided from coexchangeability modelling in climate science, the analysis of UK COVID19 deaths, and emulating an afforestation uptake model.http://www.exeter.ac.uk/events/details/?event=14136
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