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Lund University
Statistics: Bayesian Methods
<p>Discover how Bayesian statistics can help you make smarter decisions using data. In this course, you'll explore powerful tools like Markov chain Monte Carlo (MCMC) and learn how modern computing makes Bayesian methods practical - even for complex models.</p><p>This course introduces you to Bayesian statistics - a…
- Higher education
- Information unavailable
- 2 November 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>Discover how Bayesian statistics can help you make smarter decisions using data. In this course, you'll explore powerful tools like Markov chain Monte Carlo (MCMC) and learn how modern computing makes Bayesian methods practical - even for complex models.</p><p>This course introduces you to Bayesian statistics - an approach to data analysis that helps you update your beliefs as new information becomes available. You’ll learn key concepts like conditional probability, Bayes’ Theorem, and subjective probability. You’ll then explore Bayesian inference using random samples and conjugate priors. Later modules focus on hierarchical modelling and sequential updates using real-world data. </p><p>All practical exercises are done in R, using the RSTAN package.</p>
Admission scores
Entry requirements
General eligibility and knowledge corresponding to STAA41 Statistics: Basic course 1, 15 ECTS credits.
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
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.stae02.22303.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
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Previous upper-secondary schools and programmes
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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.lu.stae02.22303.20262
- Offering identity in the source
- e.uoh.lu.stae02.22303.20262
- Education-form source code
- HS
- Education code in the source
- STAE02
- Change time according to the source
- 2026-02-10T09:20:22
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.