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SUMMARY:Model Choice Workshop
DTSTART:20260323T150000Z
DTEND:20260324T170000Z
DTSTAMP:20260411T200900Z
UID:indico-event-668@dmz-sv-intest.physik.uni-muenchen.de
DESCRIPTION:Bayesian inference is often said to begin with a prior\, yet a
 n even earlier step—the articulation of a statistical model—quietly fi
 xes the outcome space\, the likelihood\, the data representation\, and the
  structural assumptions that make inference possible. This workshop asks w
 hether and how that step can be principled or partly formalized: what coun
 ts as a good modeling choice? How can simplicity and expressiveness be neg
 otiated given the available evidence? Bringing together perspectives\, we 
 will compare the rationales and heuristics different communities use when 
 specifying models\, identify common ground and points of divergence\, and 
 work through concrete cases that reveal the practical stakes of "prior to 
 the prior" decisions. The aim is to distill a shared vocabulary for reason
 ing about model choice and equip participants with questions and habits th
 at make early modeling decisions more transparent and effective.The worksh
 op includes a plenary talk by Eric-Jan Wagenmakers (University of Amsterda
 m) on the evening of the 23rd\, as well as a reception.\n\nhttps://dmz-sv-
 intest.physik.uni-muenchen.de/event/668/
LOCATION:CAS
URL:https://dmz-sv-intest.physik.uni-muenchen.de/event/668/
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