Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Journals "Spatial Statistics"
Now showing items 1-5 of 5
-
Approximate Bayesian inference for spatial econometrics models
(Journal article; Peer reviewed, 2014)In this paper we explore the use of the Integrated Laplace Approximation (INLA) for Bayesian inference in some widely used models in Spatial Econometrics. Bayesian inference often relies on computationally intensive ... -
Inference in cylindrical models having latent Markovian classes - with an application to ocean current data
(Peer reviewed; Journal article, 2021)Spatial direction vector data can be represented cylindrically by linear magnitudes and circular angles. We analyze such data by using a hierarchical Markov random field model with latent discrete classes and conditionally ... -
Parametric spatial covariance models in the ensemble Kalman filter
(Peer reviewed; Journal article, 2019)Several applications rely on data assimilation methods for complex spatio-temporal problems. The focus of this paper is on ensemble-based methods, where some approaches require estimation of covariances between state ... -
Spatial aggregation with respect to a population distribution: Impact on inference
(Peer reviewed; Journal article, 2022)patial aggregation with respect to a population distribution involves estimating aggregate population quantities based on observations from individuals. In this context, a geostatistical workflow must account for three ... -
Spatially varying anisotropy for Gaussian random fields in three-dimensional space
(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. ...