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VERSION:2.0
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SUMMARY:Some topics of Bayesian Inference
DTSTART;VALUE=DATE-TIME:20260601T090000Z
DTEND;VALUE=DATE-TIME:20260605T110000Z
DTSTAMP;VALUE=DATE-TIME:20260419T234625Z
UID:indico-event-8448@indico.ific.uv.es
DESCRIPTION:The course will consist of 10 hours\, 2h per day. The outline 
 is the following:\n\n1. Markov Processes\; Markov Chain Monte Carlo\; Hyb
 rid (a.k.a. Hamilton) Monte Carlo. \n\n2. Fundamentals of Bayesian Infer
 ence. Laplace Approximation \n\n3. Variational Inference\; Kullback-Leib
 ler divergence. Working example with Tensorflow v2 (python)\n\n4. Inferen
 ce in function space: Gaussian Processes\, Implicit Processes.\n\n5. App
 roximate Bayesian Computation (ABC). Likelihood-free method. Normalizing f
 lows.\n\n \n\nMany of the topics will be accompanied by coding examples.\
 n\n \n\n****** DAY\, TIME\, ROOM ***\n\n- Monday\, 11:00 - 13:00.  10
 01-Primera-1-1-1 - Paterna. Seminario.\n\n- Tuesday\, 14:30 - 16:30.  10
 01-Primera-1-1-1 - Paterna. Seminario\n\n- Wednesday\, 11:00 - 13:00. 1
 001-Primera-1-1-1 - Paterna. Seminario\n\n- Thursday\, 11:00 - 13:00. 1
 001-Primera-1-1-1 - Paterna. Seminario\n\n- Friday\, 14:30 - 16:30. 100
 1-Primera-1-1-1 - Paterna. Seminario.\n\nhttps://indico.ific.uv.es/event/8
 448/
LOCATION:
URL:https://indico.ific.uv.es/event/8448/
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