Curricula Guides
2018–2019
Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
MTTTS12
Introduction to Bayesian Analysis 1
5
ECTS
Organised by
Degree Programme in Mathematics and Statistics
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017
Curricula 2015 – 2017
MTTTS12
Introduction to Bayesian Analysis 1
5
ECTS
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.
Contents
Prior and posterior distributions, Bayes estimators, posterior predictive distribution, interval estimation and hypothesis testing, single-parameter models, simple multiparameter models.
Modes of study
Option
1
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Participation in course work
In
English
Option
2
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Written exam
In
English
Evaluation
Numeric 1-5.Belongs to following study modules
Faculty of Natural Sciences
2018–2019
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Natural Sciences