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Course unit, curriculum year 2020–2021
DATA.STAT.730
Introduction to Bayesian Analysis 2, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 2 (19.10.2020–31.12.2020)
Course code
DATA.STAT.730Language of instruction
EnglishAcademic year
2020–2021Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Hyon-Jung Kim-OllilaResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Markov chains, MCMC methods, model checking and comparison, commonly used statistical models, such as hierarchical and regression models, binomial and count data models.
Monte Carlo
Integration, Accept/Reject
sampling, Importance sampling, Gibbs sampler,Metropolis-Hastings
Algorithm for handling Hierarchical models
Learning outcomes
Recommended prerequisites
Learning material
Studies that include this course
Completion option 1
Completion of all options is required.
Participation in teaching
19.10.2020 – 10.12.2020
Active in period 2 (19.10.2020–31.12.2020)
Exam
09.12.2020 – 09.12.2020
Active in period 2 (19.10.2020–31.12.2020)
Completion option 2
Exam
No scheduled teaching