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

in the first half of autumn
jointly with Chalmers MVE187 (earlier MVE186, MVE185)

Course information 2020

Course coordinator: Petter Mostad
Schedule 2020

Course information 2019

Course coordinator: Petter Mostad
Schedule 2019

Course information 2018

Course coordinator: Petter Mostad
Schedule 2018

Course information 2017

Course coordinator: Petter Mostad
Schedule 2017

Page manager Published: Fri 26 Jun 2020.