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.
Syllabus

The course is given

Course information 2019

 

Course information 2018

 

Course information 2017

 

 

 

Published: Thu 20 Feb 2020.