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Computational Methods for Bayesian Statistics

Course
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-11750
Tuition
Full education cost: 14 875 SEK
First payment: 14 875 SEK
Application closed

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

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more information

Prerequisites 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.

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.

Maps for
Campus Johanneberg