MTTTS12 Introduction to Bayesian Analysis 1 5 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Mathematics and Statistics
Faculty of Natural 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

Teachers

Hyon-Jung Kim-Ollila, Teacher responsible
Hyon-Jung.Kim[├Ąt]uta.fi

Teaching

4-Mar-2019 – 26-May-2019
Lectures
Mon 4-Mar-2019 - 13-May-2019 weekly at 12-14, LS B4115, Pinni B
Wed 6-Mar-2019 - 15-May-2019 weekly at 12-14, LS B4125, Pinni B
Exceptions:
1-May-2019 , no lecture
Final Exam
Wed 8-May-2019 at 12-16, LS A1, Main Building
Exercises
Computer lab
Mon 25-Mar-2019 at 12-14, ML8, TietoPinni
Wed 27-Mar-2019 at 14-16, ML8, TietoPinni
Mon 15-Apr-2019 at 12-14, ML40, Pinni B
Mon 29-Apr-2019 at 12-14, ML40, Pinni B
Execises
Wed 6-Mar-2019 - 13-Mar-2019 weekly at 14-16, B4115, Pinni B
Wed 20-Mar-2019 - 27-Mar-2019 weekly at 14-16, LS B4125, Pinni B
Wed 3-Apr-2019 at 14-16, LS B4115, Pinni B
Wed 10-Apr-2019 - 1-May-2019 weekly at 14-16, LS B4125, Pinni B
Exceptions:
1-May-2019 , no exercises
Wed 8-May-2019 - 15-May-2019 weekly at 14-16, LS B4115, Pinni B