155 citations · 190 across the 4 of their papers we have counts for
5 papers
Modelling Solar Orbiter Dust Detection Rates in Inner Heliosphere as a Poisson Process
Samuel Kočiščák, Andreas Kvammen, Ingrid Mann +3
Solar Orbiter provides dust detection capability in inner heliosphere, but estimating physical properties of detected dust from the collected data is far from straightforward. Firs…
Spatial trend analysis of gridded temperature data at varying spatial scales
Ola Haug, Thordis L Thorarinsdottir, Sigrunn H Sørbye +1
Classical assessments of trends in gridded temperature data perform independent evaluations across the grid, thus, ignoring spatial correlations in the trend estimates. In particul…
An intuitive Bayesian spatial model for disease mapping that accounts for scaling
Andrea Riebler, Sigrunn H. Sørbye, Daniel Simpson +1
In recent years, disease mapping studies have become a routine application within geographical epidemiology and are typically analysed within a Bayesian hierarchical model formulat…
Penalising model component complexity: A principled, practical approach to constructing priors
Daniel P. Simpson, Håvard Rue, Thiago G. Martins +2
In this paper, we introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components, which defines the model c…
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)
Janine B. Illian, Sigrunn H. Sørbye, Håvard Rue
This paper develops methodology that provides a toolbox for routinely fitting complex models to realistic spatial point pattern data. We consider models that are based on log-Gauss…