• Approximate Bayesian Inference Based on Expected Evaluations 

      Hammer, Hugo Lewi; Riegler, Michael; Tjelmeland, Håkon (Peer reviewed; Journal article, 2023)
      Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable. For existing ...
    • Intuitive Joint Priors for Variance Parameters 

      Fuglstad, Geir-Arne; Hem, Ingeborg Gullikstad; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg (Journal article; Peer reviewed, 2019)
      Variance parameters in additive models are typically assigned independent priors that do not account for model structure. We present a new framework for prior selection based on a hierarchical decomposition of the total ...