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Uppsala University
Bayesian Statistics
In contrast to the usual frequentist methods, where the parameters are assumed to be fixed, the Bayesian methods assume that the parameters can be described as random variables. This allows one to begin one's analysis by having so-called priori distributions for the parameters, which can then be updated to so-called…
- Higher education
- Information unavailable
- 18 January 2027
- Uppsala
- Information unavailable
- 33 %
Overview
In contrast to the usual frequentist methods, where the parameters are assumed to be fixed, the Bayesian methods assume that the parameters can be described as random variables. This allows one to begin one's analysis by having so-called priori distributions for the parameters, which can then be updated to so-called a posteriori distributions after taking into account the observational data. Finally, these a posteriori distributions can be used to draw conclusions in the statistical analysis.
Admission scores
Entry requirements
120 credits including 60 credits in mathematics and/or data science including at least 45 credits in mathematics. Participation in Introduction to Data Science or participation in both Inference Theory II and Regression Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.uu.1ms900.60502.20271
- Last checked
- 2026-09-23T10:39:41.205927+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.uu.1ms900.60502.20271
- Offering identity in the source
- e.uoh.uu.1ms900.60502.20271
- Education-form source code
- HS
- Education code in the source
- 1MS900
- Change time according to the source
- 2026-09-10T10:12:44
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.