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UID:20260623T104757EDT-3029hEp3Gl@132.216.98.100
DTSTAMP:20260623T144757Z
DESCRIPTION:Title: General Bayesian modeling\n\nAbstract: The work is motiv
 ated by the inflexibility of Bayesian modeling\; in that only parameters o
 f probability models are required to be connected with data. The idea is t
 o generalize this by allowing arbitrary unknowns to be connected with data
  via loss functions. An updating process is then detailed which can be vie
 wed as arising in at least a couple of ways - one being purely axiomatical
 ly driven.  \n	The further exploration of replacing probability model based
  approaches to inference with loss functions is ongoing.\n	Joint work with 
 Chris Holmes\, Pier Giovanni Bissiri and Simon Lyddon.\n
DTSTART:20191101T200000Z
DTEND:20191101T210000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Stephen Walker (University of Texas)
URL:/mathstat/channels/event/stephen-walker-university
 -texas-302031
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