Opetusohjelma
2015–2016
Arkistoitu opetusohjelma 2015–2016
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
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
Enroll before the first lecture.
Teachers
Hyon-Jung Kim-Ollila, Teacher responsible
hyon-jung.kim[ät]tuni.fi
Homepage URL
Teaching
7-Sep-2015
–
18-Oct-2015
Lectures
Mon 7-Sep-2015 - 12-Oct-2015 weekly at 10-12, Pinni A3107
Exceptions:
Exceptions:
5-Oct-2015
, Pinni B1083
Wed 9-Sep-2015 - 14-Oct-2015 weekly at 12-14, Pinni A3107
Exercises
Mon 14-Sep-2015 - 12-Oct-2015 weekly at 12-14, Pinni A3107
Exceptions:
Exceptions:
28-Sep-2015
, Pinni B1083
5-Oct-2015
, Pinni B1083