• Importance Sampling with the Integrated Nested Laplace Approximation 

      Berild, Martin Outzen; Martino, Sara; Gómez-Rubio, Virgilio; Rue, Håvard (Peer reviewed; Journal article, 2022)
      The integrated nested Laplace approximation (INLA) is a deterministic approach to Bayesian inference on latent Gaussian models (LGMs) and focuses on fast and accurate approximation of posterior marginals for the parameters ...
    • Integrated Nested Laplace Approximations within Monte Carlo Methods 

      Berild, Martin Outzen (Master thesis, 2020)
      Integrated Nested Laplace Approximations (INLA) er en deterministisk metode for å oppnå bayesiansk inferens på latente gaussiske modeller (LGMer) og fokuserer på raske og nøyaktige approksimasjoner av marginale ...
    • Spatially varying anisotropy for Gaussian random fields in three-dimensional space 

      Berild, Martin Outzen; Fuglstad, Geir-Arne (Journal article; Peer reviewed, 2023)
      Isotropic covariance structures can be unreasonable for phenomena in three-dimensional spaces. In the ocean, the variability of a response may vary with depth, and ocean currents may lead to spatially varying anisotropy. ...