NTNU, Trondheim, Norway

For proposals of bachelor/project/master-thesis topics please see here

Current PhD students

  1. Ingeborg Gullikstad Hem (joint supervision with Geir-Arne Fuglstad) (08/2017 - ) Ingeborg has joined the project "Penalised Complexity-priors: A new tool to define priors and robustify Bayesian models.
  2. Umut Altay (Co-supervisor) (02/2020 - )

Completed theses

PhD theses
  • Master theses
      John Darkwah:
      Bayesian inference for disease mapping: Comparing INLA and MCMC (08/2015-07/2016)
    Bachelor theses
      Guro Aglen:
      Hidden Markov models (01/2016-08/2016)

    Full lectures:

    University of Zurich, Switzerland

    Full lecture:

    Exercise classes:

      09/2010-12/2010: Bayesian inference (for M.Sc. in Statistics)
      09/2009–12/2009: Biostatistics (for M.Sc. in Medical Biology)

    Other:

    INLA-courses

    • 2 day course (jointly with Haakon Bakka) University of Zurich, Switzerland, May 12-13, 2016. Course description
      Course material: See here
      References for computing the continuous ranked probabiity score (CRPS): The definition is provided in the paper by Gneiting and Raftery, equation 20: Gneiting and Raftery (2007), JASA, Volume 12, Number 102 If the predictive distribution can be assumed to be normal (which often applies approximately) a simplified formula, which is given directly below equation 20, can be used. Here, only the mean and standard deviation of the predictive distribution are needed which are available from INLA.
      Otherwise, the CRPS can be computed using a Monte Carlo approach based on samples (see inla.posterior sample example) from the predictive distribution see Equation 37 Sigrist et al. (2014), arXiv:1204.6118
    • 3 hour course, Universiy of Toronto, Canada, March 27, 2016
    • 2 day course, Universidad Publica de Navarra, Pamplona, Spain, December 1-2, 2015
    • 3 hour pre-conference course, IBS channel network conference 2015, Nijmegen, Netherlands, April 20, 2015
      Course material: see here
    • 1.5 day course, University of Oslo, Norway, November 5-6, 201
      Course material: see here