Opetusohjelma
2016–2017
Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
MTTTS12
Introduction to Bayesian Analysis 1
5
ECTS
Periods
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Matematiikan ja tilastotieteen tutkinto-ohjelma
School of Information Sciences
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
Teachers
Hyon-Jung Kim-Ollila, Teacher responsible
hyon-jung.kim[ät]tuni.fi
Homepage URL
Teaching
5-Sep-2016
–
17-Oct-2016
Lectures
Mon 5-Sep-2016 - 17-Oct-2016 weekly at 12-14, Pinni A2089
Exceptions:
Exceptions:
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
Exercises
Wed 7-Sep-2016 - 12-Oct-2016 weekly at 12-14, Pinni A2089
Exceptions:
Exceptions:
7-Sep-2016
, Pinni A3107
28-Sep-2016
, Linna ML50
5-Oct-2016
, Linna ML50