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 begins 29.1.2018 06:01
Enrolment ends 25.2.2018 23:59

Teachers

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

Teaching

5-Mar-2018 – 11-May-2018
Lectures
Mon 5-Mar-2018 - 23-Apr-2018 weekly at 12-14, Pinni A3111
Exceptions:
2-Apr-2018 , no lectures
Wed 7-Mar-2018 - 25-Apr-2018 weekly at 12-14, Pinni B0020
Exceptions:
28-Mar-2018 , no lectures
Exercises
Wed 14-Mar-2018 - 25-Apr-2018 weekly at 14-16, Pinni B0020
Exceptions:
28-Mar-2018 , no lectures