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SUMMARY:The *-Edge Reinforced random walk\, bayesian statistics and statis
 tical physics - Pierre Tarres (Paris and Shanghai)
DTSTART:20241126T150000Z
DTEND:20241126T160000Z
UID:TALK222544@talks.cam.ac.uk
CONTACT:Perla Sousi
DESCRIPTION:We will discuss recent non-reversible generalizations of the E
 dge-Reinforced Random Walk and its motivation in Bayesian statistics for v
 ariable order Markov Chains. The process is partially exchangeable in the 
 sense of Diaconis and Freedman (1982)\, and its mixing measure can be expl
 icitly computed. It can also be associated with a continuous process calle
 d the *-Vertex Reinforced Random Walk\, which itself is in general not exc
 hangeable. We will also discuss some properties of those processes\, in pa
 rticular the supersymmetric representation of the *-VRJP.\n\nBased on join
 t works with S. Bacallado\, C. Sabot and A. Swan.
LOCATION:MR12
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