• Bayesian Computing with INLA: A Review 

      Rue, Håvard; Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Illian, Janine B.; Simpson, Daniel Peter; Lindgren, Finn Kristian (Journal article; Peer reviewed, 2017)
      The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to Pierre-Simon Laplace (1774). This simple idea ...
    • Statistical Analysis of Space-time Data: New Models and Applications 

      Krainski, Elias Teixeira (Doctoral theses at NTNU;2018:93, Doctoral thesis, 2018)
    • STI-GMaS: An open-source environment for simulation of sexually-transmitted infections 

      Nelson, MR; Sutton, KJ; Brook, BS; Mallet, DG; Simpson, Daniel Peter; Rank, RG (Journal article; Peer reviewed, 2014)
      Background: Sexually-transmitted pathogens often have severe reproductive health implications if treatment is delayed or absent, especially in females. The complex processes of disease progression, namely replication ...