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SUMMARY:Nonparametric inference under shape constraints: past\, present an
 d future - Richard Samworth (Cambridge) 
DTSTART:20260122T160000Z
DTEND:20260122T170000Z
UID:TALK240664@talks.cam.ac.uk
CONTACT:HoD Secretary\, DPMMS
DESCRIPTION:Traditionally\, we think of statistical methods as being divid
 ed into parametric approaches\, which can be restrictive\, but where estim
 ation is typically straightforward (e.g. using maximum likelihood) and non
 parametric methods\, which are more flexible but often require careful cho
 ices of tuning parameters. Nonparametric inference under shape constraints
  sits somewhere in the middle\, seeking in some ways the best of both worl
 ds. I will give an introduction to the area\, providing some history\, rec
 ent developments and a future outlook. \n\nA wine reception in the central
  core will follow the talk.
LOCATION:CMS MR2
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