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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Bayesian methods in cosmology - Michael Hobson (Un
 iversity of Cambridge)
DTSTART;TZID=Europe/London:20230130T133000
DTEND;TZID=Europe/London:20230130T141500
UID:TALK194497AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/194497
DESCRIPTION:Bayesian inference methods are widely used to anal
 yse observations in cosmology\, but they can be ex
 tremely computationally demanding. Recent work in 
 this area has focussed on developing new methods f
 or greatly accelerating such analyses\, in particu
 lar by using nested sampling and machine learning 
 methods. I will give a brief outline of these appr
 oaches\, which are generic in nature\, and illustr
 ate their use in a cosmological case study.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:
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