Computational Methods for Bayesian Statistics

Utbildningsfakta

Kod: MSA102

The course gives an introduction to Bayesian statistical modelling and inference, focusing on computational methods such as Markov chain Monte Carlo (McMC) and other simulation methods, but also looking at tools such the EM algorithm. We emphasize the interplay between statistical modeling and applied problem solving, as well as computational and theoretical aspects of the models.

Behörighet

The course requires a strong background in mathematics, at least one course in statistics, and skills in scientific programming (for example in R or Python) as achieved by completing MSG400 "Stochastic Data Processing and Simulation".

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Computational Methods for Bayesian Statistics

  University of Gothenburg

  Startdatum: 31 augusti 2026

  Slutdatum: 3 november 2026

  Studietakt: 50 %