Geir-Arne Fuglstad

Om

Professor i statistikk ved Institutt for matematiske fag og leder for studieretningsutvalget for Industriell matematikk ved studieprogrammet Fysikk og matematikk.

Forskning

Mine hovedinteresser er stokastisk modellering i rom-tid og beregningsorientert statistikk. Spesielt bruk av rom-tid modeller beskrevet av stokastiske partielle differensialligninger som gir veldig effektive beregninger. Jeg er interessert i anvendelser i et bredt spekter av vitenskapelig områder fra epidemiologi og demografi til geografi.

Se engelsk side for utfyllende informasjon.

IMod: Partial differential equations, statistics and data: An interdisciplinary approach to data-based modelling

Inter-disciplinary project building collaboration between statistics, partial differential equations, numerics, neuroscience, and fluid mechanics.

MASCOT: Maritime Autonomous Sampling and Control

Inter-disciplinary project that aims to develop and designxa0observational strategies in spatio-temporal domains, enabling autonomous platforms to increase our knowledge of dynamic environments like the upper water-column.

Publikasjoner

2023

Berild, Martin Outzen; Fuglstad, Geir-Arne. (2023) Spatially varying anisotropy for Gaussian random fields in three-dimensional space. Spatial Statistics
Vitenskapelig artikkel
Zhang, Jiachen; Bonas, Matthew; Bolster, Diogo; Fuglstad, Geir-Arne; Castruccio, Stefano. (2023) High Resolution Global Precipitation Downscaling with Latent Gaussian Models and Nonstationary SPDE Structure. The Journal of the Royal Statistical Society, Series C (Applied Statistics)
Vitenskapelig artikkel

2022

Paige, John; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Wakefield, Jon. (2022) Spatial aggregation with respect to a population distribution: Impact on inference. Spatial Statistics
Vitenskapelig artikkel
Hu, Wenjing; Fuglstad, Geir-Arne; Castruccio, Stefano. (2022) A stochastic locally diffusive model with neural network-based deformations for global sea surface temperature. Stat
Vitenskapelig artikkel
Paige, John; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Wakefield, Jon. (2022) Bayesian multiresolution modeling of georeferenced data: An extension of ‘LatticeKrig’. Computational Statistics & Data Analysis
Vitenskapelig artikkel

2021

Wu, Yunhan; Li, Zehang Richard; Mayala, Benjamin K.; Wang, Houjie; Gao, Peter; Paige, John. (2021) Spatial Modeling for Subnational Administrative Level 2 Small-Area Estimation. ICF
Rapport
Hem, Ingeborg Gullikstad; Selle, Maria; Gorjanc, Gregor; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg. (2021) Robust Modelling of Additive and Non-additive Variation with Intuitive Inclusion of Expert Knowledge. Genetics
Vitenskapelig artikkel

2020

Fuglstad, Geir-Arne; Hem, Ingeborg Gullikstad; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg. (2020) Intuitive Joint Priors for Variance Parameters. Bayesian Analysis
Vitenskapelig artikkel
Huang, Bo; Hu, Xiangping; Fuglstad, Geir-Arne; Zhou, Xu; Zhao, Wenwu; Cherubini, Francesco. (2020) Predominant regional biophysical cooling from recent land cover changes in Europe. Nature Communications
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Castruccio, Stefano. (2020) Compression of Climate Simulations with a Nonstationary Global Spatio-Temporal SPDE Model. Annals of Applied Statistics
Vitenskapelig artikkel
Paige, John; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Wakefield, Jon. (2020) Design- and Model-Based Approaches to Small-Area Estimation in a Low- and Middle-Income Country Context: Comparisons and Recommendations. Journal of Survey Statistics and Methodology
Vitenskapelig artikkel

2019

Wakefield, Jon; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Godwin, Jessica; Wilson, Katie; Clark, Samuel J.. (2019) Estimating under-five mortality in space and time in a developing world context. Statistical Methods in Medical Research
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Simpson, Daniel; Lindgren, Finn; Rue, Håvard. (2019) Constructing Priors that Penalize the Complexity of Gaussian Random Fields. Journal of the American Statistical Association
Vitenskapelig artikkel

2018

Bakka, Haakon; Rue, Håvard; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Bolin, David; Illian, Janine B.. (2018) Spatial modelling with R-INLA: A review. Wiley Interdisciplinary Reviews: Computational Statistics
Vitenskapelig oversiktsartikkel/review
Fuglstad, Geir-Arne; Julien, Beguin. (2018) Environmental mapping using Bayesian spatial modelling (INLA/SPDE): A reply to Huang et al. (2017). Science of the Total Environment
Brev til redaktøren

2017

Beguin, Julien; Fuglstad, Geir-Arne; Mansuy, Nicolas; Pare, David. (2017) Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches. Geoderma
Vitenskapelig artikkel

2016

Kinyoki, Damaris K.; Kandala, Ngianga-Bakwin; Manda, Samuel O.; Krainski, Elias Teixeira; Fuglstad, Geir-Arne; Moloney, Grainne M.. (2016) Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010. BMJ Open
Vitenskapelig oversiktsartikkel/review
Norman, Anita J.; Stronen, Astrid V.; Fuglstad, Geir-Arne; Ruiz-Gonzalez, Aritz; Kindberg, Jonas; Street, Nathaniel R.. (2016) Landscape relatedness: detecting contemporary fine-scale spatial structure in wild populations. Landscape Ecology
Vitenskapelig artikkel

2015

Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard. (2015) Exploring a new class of non-stationary spatial Gaussian random fields with varying local anisotropy. Statistica sinica
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard. (2015) Does non-stationary spatial data always require non-stationary random fields?. Spatial Statistics
Vitenskapelig artikkel

Tidsskriftspublikasjoner

Berild, Martin Outzen; Fuglstad, Geir-Arne. (2023) Spatially varying anisotropy for Gaussian random fields in three-dimensional space. Spatial Statistics
Vitenskapelig artikkel
Zhang, Jiachen; Bonas, Matthew; Bolster, Diogo; Fuglstad, Geir-Arne; Castruccio, Stefano. (2023) High Resolution Global Precipitation Downscaling with Latent Gaussian Models and Nonstationary SPDE Structure. The Journal of the Royal Statistical Society, Series C (Applied Statistics)
Vitenskapelig artikkel
Paige, John; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Wakefield, Jon. (2022) Spatial aggregation with respect to a population distribution: Impact on inference. Spatial Statistics
Vitenskapelig artikkel
Hu, Wenjing; Fuglstad, Geir-Arne; Castruccio, Stefano. (2022) A stochastic locally diffusive model with neural network-based deformations for global sea surface temperature. Stat
Vitenskapelig artikkel
Paige, John; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Wakefield, Jon. (2022) Bayesian multiresolution modeling of georeferenced data: An extension of ‘LatticeKrig’. Computational Statistics & Data Analysis
Vitenskapelig artikkel
Hem, Ingeborg Gullikstad; Selle, Maria; Gorjanc, Gregor; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg. (2021) Robust Modelling of Additive and Non-additive Variation with Intuitive Inclusion of Expert Knowledge. Genetics
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Hem, Ingeborg Gullikstad; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg. (2020) Intuitive Joint Priors for Variance Parameters. Bayesian Analysis
Vitenskapelig artikkel
Huang, Bo; Hu, Xiangping; Fuglstad, Geir-Arne; Zhou, Xu; Zhao, Wenwu; Cherubini, Francesco. (2020) Predominant regional biophysical cooling from recent land cover changes in Europe. Nature Communications
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Castruccio, Stefano. (2020) Compression of Climate Simulations with a Nonstationary Global Spatio-Temporal SPDE Model. Annals of Applied Statistics
Vitenskapelig artikkel
Paige, John; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Wakefield, Jon. (2020) Design- and Model-Based Approaches to Small-Area Estimation in a Low- and Middle-Income Country Context: Comparisons and Recommendations. Journal of Survey Statistics and Methodology
Vitenskapelig artikkel
Wakefield, Jon; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Godwin, Jessica; Wilson, Katie; Clark, Samuel J.. (2019) Estimating under-five mortality in space and time in a developing world context. Statistical Methods in Medical Research
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Simpson, Daniel; Lindgren, Finn; Rue, Håvard. (2019) Constructing Priors that Penalize the Complexity of Gaussian Random Fields. Journal of the American Statistical Association
Vitenskapelig artikkel
Bakka, Haakon; Rue, Håvard; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Bolin, David; Illian, Janine B.. (2018) Spatial modelling with R-INLA: A review. Wiley Interdisciplinary Reviews: Computational Statistics
Vitenskapelig oversiktsartikkel/review
Fuglstad, Geir-Arne; Julien, Beguin. (2018) Environmental mapping using Bayesian spatial modelling (INLA/SPDE): A reply to Huang et al. (2017). Science of the Total Environment
Brev til redaktøren
Beguin, Julien; Fuglstad, Geir-Arne; Mansuy, Nicolas; Pare, David. (2017) Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches. Geoderma
Vitenskapelig artikkel
Kinyoki, Damaris K.; Kandala, Ngianga-Bakwin; Manda, Samuel O.; Krainski, Elias Teixeira; Fuglstad, Geir-Arne; Moloney, Grainne M.. (2016) Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010. BMJ Open
Vitenskapelig oversiktsartikkel/review
Norman, Anita J.; Stronen, Astrid V.; Fuglstad, Geir-Arne; Ruiz-Gonzalez, Aritz; Kindberg, Jonas; Street, Nathaniel R.. (2016) Landscape relatedness: detecting contemporary fine-scale spatial structure in wild populations. Landscape Ecology
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard. (2015) Exploring a new class of non-stationary spatial Gaussian random fields with varying local anisotropy. Statistica sinica
Vitenskapelig artikkel
Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard. (2015) Does non-stationary spatial data always require non-stationary random fields?. Spatial Statistics
Vitenskapelig artikkel

Rapport

Wu, Yunhan; Li, Zehang Richard; Mayala, Benjamin K.; Wang, Houjie; Gao, Peter; Paige, John. (2021) Spatial Modeling for Subnational Administrative Level 2 Small-Area Estimation. ICF
Rapport

Undervisning

Emner

Veiledning

Jeg veileder bachelor-, prosjekt- og masteroppgaver innen statistikk.

Formidling