Course unit, curriculum year 2023–2024
DATA.STAT.430
Computational Methods and Principles of Bayesian Inference, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 2 (23.10.2023–31.12.2023)
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Course code
DATA.STAT.430Language of instruction
English, FinnishAcademic years
2021–2022, 2022–2023, 2023–2024Level 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
- MC-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
- Laskenta-intensiivisistä menetelmistä
o Permutaatiotesti
o MC-testi
o Cross-Validation (CV)
o CV ja parametrien estimointi
o Jackknife
o Bootstrap
- Bayes pohjaisen päättelyn 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
24.10.2023 – 19.12.2023
Active in period 2 (23.10.2023–31.12.2023)
Exam
13.12.2023 – 13.12.2023
Active in period 2 (23.10.2023–31.12.2023)
19.12.2023 – 19.12.2023
Active in period 2 (23.10.2023–31.12.2023)
07.02.2024 – 07.02.2024
Active in period 3 (1.1.2024–3.3.2024)
13.03.2024 – 13.03.2024
Active in period 4 (4.3.2024–31.5.2024)