MSA101, Computational Methods for Bayesian Statistics 7,5 hec

The course gives an introduction to Bayesian statistical modelling and inference, focusing on computational methods such as Markov chain Monte Carlo (McMC) and other simulation methods, but also looking at tools such the EM algorithm. We emphasize the interplay between statistical modeling and applied problem solving, as well as computational and theoretical aspects of the models.

The course is given

Course information 2021


Course information 2020

Course information 2019


Course information 2018


Course information 2017




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