TECoSA Course Module “Fundamentals of Bayesian Inference using Probabilistic Programming” (2/2)
June 7, 14:00 – 17:00
Attendance is free to all TECoSA members. This module will run in collaboration with Digital Futures, and participants can join in person or via Zoom. To register, please see: https://www.kth.se/form/6254058494395f32cdb8aaed
Format: Two 3-hour seminars plus preparation and homework
Location: KTH Campus (Digital Futures Hub) or Zoom
Timing: Weds 1 June kl.14-17 and Weds 7 June kl.14-17 (all CET)
Module led by: KTH: David Broman (firstname.lastname@example.org)
Content: *Basics of Bayesian inference (SMC, MCMC); *Bayes rule, probabilistic modeling; *Using probabilistic programming to solve Bayesian probabilistic problems. Given through interactive lectures, hands-on exercises and take home exercises.