x !
Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
MTTTS12 Introduction to Bayesian Analysis 1 5 ECTS
Period I Period II Period III Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Mathematics and Statistics
School of Information Sciences

Learning outcomes

After the course, the student will be able to determine posterior distributions, Bayes estimates, posterior intervals and posterior predictive distributions in some simple cases, and do Bayesian hypothesis testing. Further, he will be able to analyse single-parameter and simple multiparameter models using software such as BUGS.

Enrolment for University Studies

Enrolment time has expired


Hyon-Jung Kim-Ollila, Teacher responsible

Homepage URL


5-Sep-2016 – 17-Oct-2016
Mon 5-Sep-2016 - 17-Oct-2016 weekly at 12-14, Pinni A2089
12-Sep-2016 , Main building A4
19-Sep-2016 , Main building D13
26-Sep-2016 , Linna ML50
3-Oct-2016 , Pinni B, ML40
Wed 7-Sep-2016 - 12-Oct-2016 weekly at 10-12, Pinni A3103
Wed 7-Sep-2016 - 12-Oct-2016 weekly at 12-14, Pinni A2089
7-Sep-2016 , Pinni A3107
28-Sep-2016 , Linna ML50
5-Oct-2016 , Linna ML50