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Mathematical signs and patterns
Photo: /Konstnär: Per Petersson
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Computational Methods for Bayesian Statistics

Course
MSA102
Master’s level
7.5 credits (ECTS)
Study pace
50%
Time
Day
Location
Göteborg
Study form
Campus
Language
English
Duration
-
Application open
-
Application code
GU-11758
Tuition
Full education cost: 16 000 SEK
First payment: 16 000 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Application closed, late application opens 15 July 2024.

About

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 modelling and applied problem solving, as well as computational and theoretical aspects of the models.

Prerequisites and selection

Requirements

Basic skills in mathematical statistics.

Basic skills in scientific programming (for example in Matlab or R) as achieved by completing MSG400 "Stochastic Data Processing and Simulation".

Selection

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

Facilities

Mathematical Sciences is a joint department of Chalmers/University of Gothenburg. Your education takes place in the spacious and bright premises of Mathematical Sciences at the Chalmers campus Johanneberg, where there are lecture halls, computer rooms and group rooms. Here you can also find student lunch room and reading room, as well as student counsellors and student office.