Sigrunn H. Sørbye

Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors

Daniel Simpson, Håvard Rue, Andrea Riebler et al. · Statistical Science · 2017 · 1.1K citations · Full text

Computing, Data Science, Bayesian Data Analysis +16

An intuitive Bayesian spatial model for disease mapping that accounts for scaling

Andrea Riebler, Sigrunn H. Sørbye, Daniel Simpson et al. · Statistical Methods in Medical Research · 2016 · 501 citations

Public Health, Biostatistics, Epidemiology +16

Going off grid: computationally efficient inference for log-Gaussian Cox processes

Daniel Simpson, Janine Illian, Finn Lindgren et al. · Biometrika · 2016 · 212 citations · Full text

Computing, Biostatistics, Bayesian Data Analysis +16

Scaling intrinsic Gaussian Markov random field priors in spatial modelling

Sigrunn H. Sørbye, Håvard Rue · Spatial Statistics · 2013 · 161 citations

Computing, Geoinformatics, Bayesian Data Analysis +11

Fitting complex ecological point process models with integrated nested Laplace approximation

Janine Illian, Sara Martino, Sigrunn H. Sørbye et al. · Methods in Ecology and Evolution · 2013 · 99 citations · Full text

Life Sciences, Biostatistics, Ecology +13