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Course unit, curriculum year 2022–2023
DATA.STAT.730
Introduction to Bayesian Analysis 2, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 2 (24.10.2022–31.12.2022)
Course code
DATA.STAT.730Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level 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 %
Coordinating organisation
Computing Sciences Studies 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
24.10.2022 – 15.12.2022
Active in period 2 (24.10.2022–31.12.2022)
Exam
15.12.2022 – 15.12.2022
Active in period 2 (24.10.2022–31.12.2022)