Geir-Arne Fuglstad
TitleCited byYear
Constructing priors that penalize the complexity of Gaussian random fields
GA Fuglstad, D Simpson, F Lindgren, H Rue
Journal of the American Statistical Association 114 (525), 445-452, 2019
Exploring a new class of non-stationary spatial Gaussian random fields with varying local anisotropy
GA Fuglstad, F Lindgren, D Simpson, H Rue
Statistica Sinica, 115-133, 2015
Does non-stationary spatial data always require non-stationary random fields?
GA Fuglstad, D Simpson, F Lindgren, H Rue
Spatial Statistics 14, 505-531, 2015
Spatial modeling with R‐INLA: A review
H Bakka, H Rue, GA Fuglstad, A Riebler, D Bolin, J Illian, E Krainski, ...
Wiley Interdisciplinary Reviews: Computational Statistics 10 (6), e1443, 2018
Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010
DK Kinyoki, NB Kandala, SO Manda, ET Krainski, GA Fuglstad, ...
Bmj Open 6 (3), e009854, 2016
Non-stationary spatial modelling with applications to spatial prediction of precipitation
GA Fuglstad, D Simpson, F Lindgren, H Rue
arXiv preprint arXiv:1306.0408, 2013
Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches
J Beguin, GA Fuglstad, N Mansuy, D Paré
Geoderma 306, 195-205, 2017
Landscape relatedness: detecting contemporary fine-scale spatial structure in wild populations
AJ Norman, AV Stronen, GA Fuglstad, A Ruiz-Gonzalez, J Kindberg, ...
Landscape Ecology 32 (1), 181-194, 2017
Spatial modelling and inference with spde-based gmrfs
GA Fuglstad
Institutt for matematiske fag, 2011
Estimating under-five mortality in space and time in a developing world context
J Wakefield, GA Fuglstad, A Riebler, J Godwin, K Wilson, SJ Clark
Statistical methods in medical research 28 (9), 2614-2634, 2019
Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion [WWW Document]
H Rue, S Martino, F Lindgren, D Simpson, A Riebler, E Krainski
URL〈 http://inla. googlecode. com/hg-history/default/rinla/DESCRIPTION, 2014
INLA: Functions Which Allow to Perform Full Bayesian Analysis of Latent Gaussian Models Using Integrated Nested Laplace Approximations, R Package Version 0.0-1485844051. 2017
H Rue, S Martino, F Lindgren, D Simpson, A Riebler, E Teixeira, ...
Accessed, 2014
Approximating Solutions of Stochastic Differential Equations with Gaussian Markov Random Fields
GA Fuglstad
Pre-Master’s thesis, Department of Mathematical Sciences, NTNU, 2010
Intuitive principle-based priors for attributing variance in additive model structures
GA Fuglstad, IG Hem, A Knight, H Rue, A Riebler
arXiv preprint arXiv:1902.00242, 2019
Modelling spatial non-stationarity
GA Fuglstad
NTNU, 2015
Environmental mapping using Bayesian spatial modelling (INLA/SPDE): A reply to Huang et al.(2017).
GA Fuglstad, J Beguin
The Science of the total environment 624, 596-598, 2018
Modeling water supply networks and gastrointestinal disorder symptoms with CAR models
HW Kongsgård, GA Fuglstad, H Rue, K Hveem, S Krokstad
arXiv preprint arXiv:1708.07363, 2017
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Articles 1–17