Workshop organized by Dr. Andreas Döpp and Dr. Tom Sterkenburg (CAS Young Center/LMU).
Bayesian inference is often said to begin with a prior, yet an even earlier step – the articulation of a statistical model – quietly fixes the outcome space, the likelihood, the data representation, and the structural assumptions that make inference possible. This workshop asks whether and how that step can be principled or partly formalized: what counts as a good modeling choice? How can simplicity and expressiveness be negotiated given the available evidence?
Participants include the members of the CAS Research Focus “Bayesian Reasoning”.
Registration
Participation by invitation only.