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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20230228T141633Z
DTSTART:20230315T140000Z
DTEND:20230315T150000Z
SUMMARY:Rebecca Lewis -  Cox reduction and confidence sets of models (- i
 n person stat seminar)
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}akp-la0xpfa
 t-ys1frw
DESCRIPTION:Rebecca Lewis\, PhD student in the Department of Mathematics 
 at the Imperial College London is our speaker for the Statistics seminar
  series.\n\nTitle: Cox reduction and confidence sets of models\n\nAbstra
 ct: In the context of sparse high-dimensional regression problems\, Cox 
 and Battey (2017\, 2018) emphasised the need for confidence sets of mode
 ls: an enumeration of those small sets of variables that fit the data eq
 uivalently well in a suitable statistical sense. This is to be contraste
 d with the single model returned by penalised regression procedures\, ef
 fective for prediction but potentially misleading for subject-matter und
 erstanding. In this talk\, I will provide insights into Cox and Battey's
  proposed construction of a model confidence set\, characterising the mo
 dels that are likely to be retained in the set\, identifying features of
  the covariate matrix that may reduce the procedure's efficacy and sugge
 sting improvements to mitigate these.\n\nVenue:\nRoom G108 \nAlan Turing
  Building \nManchester\nM13 9PL
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Room G108 \, Alan Turing Building \, Upper Brook street\, Manche
 ster\, M13 9PL
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