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Computational Methods for Bayesian Statistics

Master's level | 7.5 credits | Course code: MSA101
Autumn 2020
50% Day
Period: 31 August 2020 - 2 November 2020
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

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.

More Information

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Course Syllabus


Requirements and Selection

Requirements: Basic skills in mathematical statistics corresponding to at least 15 hp, in addition to the course MSG400 Stochastic Data Processing and Simulation.

Selection: All eligible applicants who have applied before the deadline will be granted a place.

Tuition Fee

Application fee: 900 SEK
Full course cost: 14 875 SEK
First payment: 14 875 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on:

Study Guidance, tel: 031-772 3505


Department of Mathematical Sciences
41296 Göteborg

Visiting address: Chalmers Tvärgata 3

Phone: 0317721000

Page Manager: Pontus Sundén
Last update: 2/18/2020 2:41 PM

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Page Manager: Pontus Sundén|Last update: 10/16/2018

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