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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Bayesian Workflow - Andrew Gelman (Columbia Univer
 sity)
DTSTART;TZID=Europe/London:20250626T153000
DTEND;TZID=Europe/London:20250626T163000
UID:TALK232375AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/232375
DESCRIPTION:The workflow of applied Bayesian statistics includ
 es not just inference but also building\, checking
 \, and understanding fitted models. We discuss var
 ious live issues including prior distributions\, d
 ata models\, and computation\, in the context of i
 deas such as the Fail Fast Principle and the Folk 
 Theorem of Statistical Computing. We also consider
  some examples of Bayesian models that give bad an
 swers and see if we can develop a workflow that ca
 tches such problems. For background\, see here: ht
 tp://www.stat.columbia.edu/~gelman/research/unpubl
 ished/Bayesian_Workflow_article.pdf
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:
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