Statistics: Bayesian Methods

Education facts

Code: STAE02

<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>

Entry requirements

General eligibility and knowledge corresponding to STAA41 Statistics: Basic course 1, 15 ECTS credits.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Statistics: Bayesian Methods

  Lund University

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %