Opetusohjelma
2015–2016
Arkistoitu opetusohjelma 2015–2016
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
MTTTS13
Introduction to Bayesian Analysis 2
5
ECTS
Periods
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
-
MTTTS13
Introduction to Bayesian Analysis 2
Participation in course work
Matematiikan ja tilastotieteen tutkinto-ohjelma
School of Information Sciences
School of Information 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
11-Jan-2016
–
4-Mar-2016
Lectures
Mon 11-Jan-2016 - 22-Feb-2016 weekly at 10-12, Pinni A2089
Exceptions:
Exceptions:
8-Feb-2016
, Pinni B, ML40
Wed 13-Jan-2016 - 17-Feb-2016 weekly at 12-14, Pinni A2089
Exceptions:
Exceptions:
10-Feb-2016
, Pinni B1083, mid-term exam
Exercises
Wed 13-Jan-2016 - 17-Feb-2016 weekly at 14-16, Pinni A2089
Exceptions:
Exceptions:
20-Jan-2016
, Pinni B1083
3-Feb-2016
, Pinni B1083
10-Feb-2016
, Pinni B1083, mid-term exam