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Archived teaching schedules 2018–2019
You are browsing archived teaching schedule. Current teaching schedules can be found here.
MTTTS13 Introduction to Bayesian Analysis 2 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 apply Markov chains in statistical modelling and program the estimation of some simple models using Markov chain Monte Carlo methods. He will also be able to do model critique and comparison with Bayesian methods. Further, he will be able to perform the Bayesian analysis of some of the most commonly used statistical models.

Enrolment for University Studies

Enrolment time has expired

Teachers

Hyon-Jung Kim-Ollila, Teacher responsible
hyon-jung.kim[ät]tuni.fi

Teaching

22-Oct-2018 – 14-Dec-2018
Lectures
Mon 22-Oct-2018 - 10-Dec-2018 weekly at 12-14, LS B4125, Pinni B
Exceptions:
29-Oct-2018 at 12 –14 , LS B0016, Pinni B
12-Nov-2018 at 12 –14 , ML 7, TietoPinni
19-Nov-2018 at 12 –14 , LS B0020, Pinni B
Wed 24-Oct-2018 - 12-Dec-2018 weekly at 12-14, LS B4115, Pinni B
Midterm exam
Wed 28-Nov-2018 at 12-16, ML 7, TietoPinni
Final exam
Wed 12-Dec-2018 at 12-16, LS B1083, Pinni B
Exercises
Wed 24-Oct-2018 - 12-Dec-2018 weekly at 14-16, LS B4116, Pinni B
Faculty of Natural Sciences
The Course is part of the following teaching schedules
Centre for Applied Statistics and Data Analytics, CAST
CAST (Centre for Applied Statistics and Data Analytics)
Faculty of Natural Sciences
Master's Degree Programme in Computational Big Data Analytics