Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "Scandinavian Journal of Statistics"

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    • Computationally efficient familywise error rate control in genome‐wide association studies using score tests for generalized linear models 

      Halle, Kari Krizak; Bakke, Øyvind; Djurovic, Srdjan; Bye, Anja; Ryeng, Einar; Wisløff, Ulrik; Andreassen, Ole Andreas; Langaas, Mette (Peer reviewed; Journal article, 2020)
      In genetic association studies, detecting phenotype–genotype association is a primary goal. We assume that the relationship between the data—phenotype, genetic markers and environmental covariates—can be modeled by a ...

    • Conditional Monte Carlo revisited 

      Lindqvist, Bo Henry; Erlemann, Rasmus; Taraldsen, Gunnar (Peer reviewed; Journal article, 2021)
      Conditional Monte Carlo refers to sampling from the conditional distribution of a random vector X given the value T ( X ) = t for a function T ( X ) . Classical conditional Monte Carlo methods were designed for estimating ...

    • Cramér-von Mises tests for change points 

      Erlemann, Rasmus; Lockhart, Richard; Yao, Rihan (Journal article; Peer reviewed, 2021)
      We study two nonparametric tests of the hypothesis that a sequence of independent observations is identically distributed against the alternative that at a single change point the distribution changes. The tests are based ...

    • Efficient spatial designs using Hausdorff distances and Bayesian optimization 

      Paglia, Jacopo; Eidsvik, Jo; Karvanen, Juha (Peer reviewed; Journal article, 2021)
      An iterative Bayesian optimization technique is presented to find spatial designs of data that carry much information. We use the decision theoretic notion of value of information as the design criterion. Gaussian process ...

    • Ensemble updating of binary state vectors by maximising the expected number of unchanged components 

      Loe, Margrethe Kvale; Tjelmeland, Håkon (Peer reviewed; Journal article, 2020)
      The main challenge in ensemble-based filtering methods is the updating of a prior ensemble to a posterior ensemble. In the ensemble Kalman filter (EnKF), a linear-Gaussian model is introduced to overcome this issue, and ...

    • Improper priors and improper posteriors 

      Taraldsen, Gunnar; Tufto, Jarle; Lindqvist, Bo Henry (Peer reviewed; Journal article, 2021)
      What is a good prior? Actual prior knowledge should be used, but for complex models this is often not easily available. The knowledge can be in the form of symmetry assumptions, and then the choice will typically be an ...