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Course unit, curriculum year 2024–2025
DATA.STAT.430
Computational Methods and Principles of Bayesian Inference, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 2 (21.10.2024–31.12.2024)
Course code
DATA.STAT.430Language of instruction
English, FinnishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Intermediate studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Arto LuomaResponsible teacher:
Tapio NummiResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
- R-kielen/ohjelman alkeita
- Simuloinnista
- Monte Carlo -menetelmät
- Satunnaislukujen generoinnista
o Lineaarinen kongruenssimenetelmä
- Otosten generointi tunnetusta jakaumasta
o Satunnaislukujen generointi R-ohjelmistossa
o Käänteistransformaatiomenetelmä
o Box-Muller-menetelmä
o Multinormaalijakauma
o Diskreetit jakaumat
o Muita otosten generointimenetelmiä
- Laskentaintensiivisistä menetelmistä
o Permutaatiotesti
o Monte Carlo -testi
o Ristiinvalidointi
o Linkkuveitsimenetelmä
o Bootstrap-menetelmä
- Bayes-tilastotieteen perusteet
Learning outcomes
Prerequisites
Recommended prerequisites
Learning material
Equivalences
Studies that include this course
Completion option 1
Completion of all options is required.
Participation in teaching
21.10.2024 – 08.12.2024
Active in period 2 (21.10.2024–31.12.2024)
Exam
No scheduled teaching