BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Bayesian methods in cosmology - Michael Hobson (University of Camb
 ridge)
DTSTART:20230130T133000Z
DTEND:20230130T141500Z
UID:TALK194497@talks.cam.ac.uk
DESCRIPTION:Bayesian inference methods are widely used to analyse observat
 ions in cosmology\, but they can be extremely computationally demanding. R
 ecent work in this area has focussed on developing new methods for greatly
  accelerating such analyses\, in particular by using nested sampling and m
 achine learning methods. I will give a brief outline of these approaches\,
  which are generic in nature\, and illustrate their use in a cosmological 
 case study.
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR