Opetusohjelma
2017–2018
Arkistoitu opetusohjelma 2017–2018
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
-
MTTTS12
Introduction to Bayesian Analysis 1
Participation in course work
Matematiikan ja tilastotieteen tutkinto-ohjelma
Faculty of Natural Sciences
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[ät]tuni.fi
Teaching
5-Mar-2018
–
11-May-2018
Lectures
Mon 5-Mar-2018 - 23-Apr-2018 weekly at 12-14, Pinni A3111
Exceptions:
Exceptions:
26-Mar-2018
, TietoPinni ML8
2-Apr-2018
, no lecture
16-Apr-2018
, Pinni B1084
23-Apr-2018
, Linna ML51
Wed 25-Apr-2018 at 12-14, Pinni B0020
Exceptions:
Exceptions:
28-Mar-2018
, no lecture
3-Apr-2018
, no lecture
Final exam
Wed 9-May-2018 at 12-16, B0016
Exercises
Wed 7-Mar-2018 - 2-May-2018 weekly at 14-16, Pinni B0020
Exceptions:
Exceptions:
28-Mar-2018
, no lecture
11-Apr-2018
, Pinni B1084
18-Apr-2018
, Pinni B1084
2-May-2018
at 12
–14
, extra lab at different time