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.

**Syllabus**

The course is given

#### Course information 2021

- Course coordinator: Petter Mostad
- Schedule 2021

#### Course information 2020

- Course coordinator: Petter Mostad
- Schedule 2020

#### Course information 2019

- Course coordinator: Petter Mostad
- Schedule 2019

#### Course information 2018

- Course coordinator: Petter Mostad
- Schedule 2018

#### Course information 2017

- Course coordinator: Petter Mostad
- Schedule 2017