Curricula Guides
2017–2018
Archived Curricula Guide 2015–2017
Curricula Guide is archieved. Please refer to current Curricula Guides
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School of Information Sciences 2015–2017
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Advanced Courses in Methods of Statistical Data Analytics
MTTTS13
Introduction to Bayesian Analysis 2
5
ECTS
Organised by
Degree Programme in Mathematics and Statistics
Preceding studies
Recommended:
Corresponding course units in the curriculum
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.
Contents
Markov chains, MCMC methods, model checking and comparison, commonly used statistical models, such as hierarchical and regression models, binomial and count data 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
School of Information Sciences
2017–2018
Archived Teaching Schedule. Please refer to current Teaching Shedule.
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School of Information Sciences