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Computational Methods for Bayesian Statistics

Master's level | 7.5 credits | Course code: MSA101
Autumn 2019
50% Day
Göteborg
Period: 2 September 2019 - 3 November 2019
INSTRUCTION LANGUAGE: English
2 Closed GU-11750
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

http://www.chalmers.se/math/...

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Course Syllabus

MSA101

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: 14 550 SEK
First payment: 14 550 SEK

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

Study Guidance

svl.math@gu.se, tel: 031-772 3505

Faculty

Department of Mathematical Sciences
41296 Göteborg

Visiting address: Chalmers Tvärgata 3

Phone: 0317721000

Page Manager: Pontus Sundén
Last update: 6/15/2018 12:12 PM

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