TECoSA Course Module “Fundamentals of Bayesian Inference using Probabilistic Programming” (1/2)

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 (dbro@kth.se)
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.