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  1. Ansatte

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Geir-Arne Fuglstad

Last ned pressefoto
Last ned pressefoto
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Geir-Arne Fuglstad

Professor
Institutt for matematiske fag

geir-arne.fuglstad@ntnu.no
73591699 1036, Sentralbygg 2 Gløshaugen, Trondheim
Google Scholar Home page
Om Forskning Publikasjoner Undervisning Formidling

Om

Professor i statistikk ved Institutt for matematiske fag og studieprogramleder for sivilingeniørprogrammet Fysikk og matematikk (MTFYMA).

Kompetanseord

  • Bayesiansk statistikk
  • Beregningsorientert statistikk
  • Rom-tid modellering
  • Romlig statistikk

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.

DIScover

Research group working in the fields of analysis of partial differential equations, numerical analysis, spatio-temperal statistics, and the fields of fluid mechanics, neuroscience and neurolinguistics.

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 design observational strategies in spatio-temporal domains, enabling autonomous platforms to increase our knowledge of dynamic environments like the upper water-column.

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Alle publikasjoner i Nasjonalt vitenarkiv (NVA)

2026

  • Auestad, Øyvind Stormark; Fuglstad, Geir-Arne; Jakobsen, Espen Robstad; Lang, Annika. (2026) Finite element approximation of parabolic SPDEs with Whittle--Matérn noise. ESAIM: Mathematical Modelling and Numerical Analysis (ESAIM: M2AN)
    Vitenskapelig artikkel
  • Hu, Xiangping; Ballal, Vedant Pushpahas; Martinelli, Gabriele; Fuglstad, Geir-Arne; Nocente, Alessandro; Iacono, Roberto; Huang, Bo; Cherubini, Francesco. (2026) Impacts of drought on electricity production, fossil carbon emissions, and air pollution in Europe. Energy Nexus
    Vitenskapelig artikkel
  • Paulson, Katherine; Fuglstad, Geir-Arne; Li, Zehang Richard; Wakefield, Jonathan. (2026) Temporal models for estimation and short-term forecasting of neonatal mortality rates in sub-Saharan Africa. Annals of Applied Statistics
    Vitenskapelig artikkel
  • Wakefield, Jon; Gao, Peter; Fuglstad, Geir-Arne; Li, Zehang Richard. (2026) The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics. Statistical Science
    Vitenskapelig artikkel

2025

  • Lilleborge, Karina; Martino, Sara; Fuglstad, Geir-Arne; Lindgren, Finn Kristian; Ingebrigtsen, Rikke. (2025) Joint Modelling of Line and Point Data on Metric Graphs. Spatial Statistics
    Vitenskapelig artikkel
  • Li, Zehang Richard; Martin, Bryan D; Dong, Tracy Qi; Fuglstad, Geir-Arne; Godwin, Jessica; Paige, John Leonard; Riebler, Andrea Ingeborg; Clark, Samuel J.; Wakefield, Jon. (2025) Space-Time Smoothing of Survey Outcomes using the R Package SUMMER. The R Journal
    Vitenskapelig artikkel
  • Altay, Umut; Paige, John Leonard; Riebler, Andrea Ingeborg; Fuglstad, Geir-Arne. (2025) GeoAdjust: Adjusting for Positional Uncertainty in Geostatistial Analysis of DHS Data. The R Journal
    Vitenskapelig artikkel

2024

  • Altay, Umut; Paige, John; Riebler, Andrea Ingeborg; Fuglstad, Geir-Arne. (2024) Impact of jittering on raster- and distance-based geostatistical analyses of DHS data. Statistical Modelling
    Vitenskapelig artikkel
  • Hem, Ingeborg; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg. (2024) makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R. Journal of Statistical Software
    Vitenskapelig artikkel
  • Berild, Martin Outzen; Fuglstad, Geir-Arne. (2024) Non-stationary spatio-temporal modeling using the stochastic advection–diffusion equation. Spatial Statistics
    Vitenskapelig artikkel

2023

  • Zhang, Jiachen; Bonas, Matthew; Bolster, Diogo; Fuglstad, Geir-Arne; Castruccio, Stefano. (2023) High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure. Journal of the Royal Statistical Society, Series C (Applied Statistics)
    Vitenskapelig artikkel
  • Berild, Martin Outzen; Fuglstad, Geir-Arne. (2023) Spatially varying anisotropy for Gaussian random fields in three-dimensional space. Spatial Statistics
    Vitenskapelig artikkel
  • Berild, Martin Outzen; Ge, Yaolin; Eidsvik, Jo; Fuglstad, Geir-Arne; Ellingsen, Ingrid Helene. (2023) Efficient 3D real-time adaptive AUV sampling of a river plume front. Frontiers in Marine Science
    Vitenskapelig artikkel

2022

  • 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
  • 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) Spatial aggregation with respect to a population distribution: Impact on inference. Spatial Statistics
    Vitenskapelig artikkel

2021

  • Wu, Yunhan; Li, Zehang Richard; Mayala, Benjamin K.; Wang, Houjie; Gao, Peter; Paige, John; Fuglstad, Geir-Arne; Moe, Caitlin; Godwin, Jessica; Donohue, Rose E.. (2021) Spatial Modeling for Subnational Administrative Level 2 Small-Area Estimation. ICF
    Forskningsrapport
  • 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

  • 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
  • Fuglstad, Geir-Arne; Castruccio, Stefano. (2020) Compression of Climate Simulations with a Nonstationary Global Spatio-Temporal SPDE Model. Annals of Applied Statistics
    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

2018

  • Bakka, Haakon; Rue, Håvard; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Bolin, David; Illian, Janine B.; Krainski, Elias Teixeira; Simpson, Daniel; Lindgren, Finn. (2018) Spatial modelling with R-INLA: A review. Wiley Interdisciplinary Reviews: Computational Statistics
    Vitenskapelig oversiktsartikkel
  • 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
    Kommentar
  • Fuglstad, Geir-Arne; Simpson, Daniel; Lindgren, Finn; Rue, Håvard. (2018) Constructing Priors that Penalize the Complexity of Gaussian Random Fields. Journal of the American Statistical Association
    Vitenskapelig artikkel
  • Wakefield, Jon; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Godwin, Jessica; Wilson, Katie; Clark, Samuel J.. (2018) Estimating under-five mortality in space and time in a developing world context. Statistical Methods in Medical Research
    Vitenskapelig artikkel

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.; Berkley, James A.; Noor, Abdisalan 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
  • Norman, Anita J.; Stronen, Astrid V.; Fuglstad, Geir-Arne; Ruiz-Gonzalez, Aritz; Kindberg, Jonas; Street, Nathaniel R.; Spong, Göran. (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) Does non-stationary spatial data always require non-stationary random fields?. Spatial Statistics
    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

Tidsskriftspublikasjoner

  • Auestad, Øyvind Stormark; Fuglstad, Geir-Arne; Jakobsen, Espen Robstad; Lang, Annika. (2026) Finite element approximation of parabolic SPDEs with Whittle--Matérn noise. ESAIM: Mathematical Modelling and Numerical Analysis (ESAIM: M2AN)
    Vitenskapelig artikkel
  • Hu, Xiangping; Ballal, Vedant Pushpahas; Martinelli, Gabriele; Fuglstad, Geir-Arne; Nocente, Alessandro; Iacono, Roberto; Huang, Bo; Cherubini, Francesco. (2026) Impacts of drought on electricity production, fossil carbon emissions, and air pollution in Europe. Energy Nexus
    Vitenskapelig artikkel
  • Paulson, Katherine; Fuglstad, Geir-Arne; Li, Zehang Richard; Wakefield, Jonathan. (2026) Temporal models for estimation and short-term forecasting of neonatal mortality rates in sub-Saharan Africa. Annals of Applied Statistics
    Vitenskapelig artikkel
  • Lilleborge, Karina; Martino, Sara; Fuglstad, Geir-Arne; Lindgren, Finn Kristian; Ingebrigtsen, Rikke. (2025) Joint Modelling of Line and Point Data on Metric Graphs. Spatial Statistics
    Vitenskapelig artikkel
  • Bakka, Haakon; Rue, Håvard; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Bolin, David; Illian, Janine B.; Krainski, Elias Teixeira; Simpson, Daniel; Lindgren, Finn. (2018) Spatial modelling with R-INLA: A review. Wiley Interdisciplinary Reviews: Computational Statistics
    Vitenskapelig oversiktsartikkel
  • 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
  • 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
  • Wakefield, Jon; Gao, Peter; Fuglstad, Geir-Arne; Li, Zehang Richard. (2026) The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics. Statistical Science
    Vitenskapelig artikkel
  • Kinyoki, Damaris K.; Kandala, Ngianga-Bakwin; Manda, Samuel O.; Krainski, Elias Teixeira; Fuglstad, Geir-Arne; Moloney, Grainne M.; Berkley, James A.; Noor, Abdisalan 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
  • 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
  • Altay, Umut; Paige, John; Riebler, Andrea Ingeborg; Fuglstad, Geir-Arne. (2024) Impact of jittering on raster- and distance-based geostatistical analyses of DHS data. Statistical Modelling
    Vitenskapelig artikkel
  • Li, Zehang Richard; Martin, Bryan D; Dong, Tracy Qi; Fuglstad, Geir-Arne; Godwin, Jessica; Paige, John Leonard; Riebler, Andrea Ingeborg; Clark, Samuel J.; Wakefield, Jon. (2025) Space-Time Smoothing of Survey Outcomes using the R Package SUMMER. The R Journal
    Vitenskapelig artikkel
  • Zhang, Jiachen; Bonas, Matthew; Bolster, Diogo; Fuglstad, Geir-Arne; Castruccio, Stefano. (2023) High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure. Journal of the Royal Statistical Society, Series C (Applied Statistics)
    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
  • Altay, Umut; Paige, John Leonard; Riebler, Andrea Ingeborg; Fuglstad, Geir-Arne. (2025) GeoAdjust: Adjusting for Positional Uncertainty in Geostatistial Analysis of DHS Data. The R Journal
    Vitenskapelig artikkel
  • 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
    Kommentar
  • Fuglstad, Geir-Arne; Simpson, Daniel; Lindgren, Finn; Rue, Håvard. (2018) Constructing Priors that Penalize the Complexity of Gaussian Random Fields. Journal of the American Statistical Association
    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
  • Berild, Martin Outzen; Fuglstad, Geir-Arne. (2023) Spatially varying anisotropy for Gaussian random fields in three-dimensional space. Spatial Statistics
    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; Castruccio, Stefano. (2020) Compression of Climate Simulations with a Nonstationary Global Spatio-Temporal SPDE Model. Annals of Applied Statistics
    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; 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
  • Hem, Ingeborg; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg. (2024) makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R. Journal of Statistical Software
    Vitenskapelig artikkel
  • Berild, Martin Outzen; Fuglstad, Geir-Arne. (2024) Non-stationary spatio-temporal modeling using the stochastic advection–diffusion equation. Spatial Statistics
    Vitenskapelig artikkel
  • Norman, Anita J.; Stronen, Astrid V.; Fuglstad, Geir-Arne; Ruiz-Gonzalez, Aritz; Kindberg, Jonas; Street, Nathaniel R.; Spong, Göran. (2016) Landscape relatedness: detecting contemporary fine-scale spatial structure in wild populations. Landscape Ecology
    Vitenskapelig artikkel
  • Berild, Martin Outzen; Ge, Yaolin; Eidsvik, Jo; Fuglstad, Geir-Arne; Ellingsen, Ingrid Helene. (2023) Efficient 3D real-time adaptive AUV sampling of a river plume front. Frontiers in Marine Science
    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
  • Wakefield, Jon; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Godwin, Jessica; Wilson, Katie; Clark, Samuel J.. (2018) Estimating under-five mortality in space and time in a developing world context. Statistical Methods in Medical Research
    Vitenskapelig artikkel

Rapport

  • Wu, Yunhan; Li, Zehang Richard; Mayala, Benjamin K.; Wang, Houjie; Gao, Peter; Paige, John; Fuglstad, Geir-Arne; Moe, Caitlin; Godwin, Jessica; Donohue, Rose E.. (2021) Spatial Modeling for Subnational Administrative Level 2 Small-Area Estimation. ICF
    Forskningsrapport

Undervisning

Emner

  • TMA4245 - Statistikk
  • TMA4250 - Romlig statistikk

Veiledning

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

Formidling

2026

  • Konferanseforedrag
    Fuglstad, Geir-Arne; Gao, Peter; Wakefield, Jon; Zehang, Richard Li. (2026) The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics. GEOMED 2026
  • Foredrag
    Fuglstad, Geir-Arne. (2026) Geostatistical Spatio-Temporal Modelling: An introduction and recent work. STAB Research Group Meeting
  • Foredrag
    Fuglstad, Geir-Arne. (2026) Prevalence Mapping in Low- and Middle-Income Countries. Explaining and Promoting Health Equity

2024

  • Konferanseforedrag
    Fuglstad, Geir-Arne; Altay, Umut; Paige, John Leonard; Riebler, Andrea Ingeborg. (2024) Addressing Positional Anonymisation in Geostatistial Analyses of DHS Data. GeoMed 2024

2023

  • Konferanseforedrag
    Fuglstad, Geir-Arne; Berild, Martin Outzen. (2023) Non-stationary Spatio-Temporal Modelling with Applications to Autonomous Sampling. Colloqium
  • Konferanseforedrag
    Fuglstad, Geir-Arne; Berild, Martin Outzen. (2023) Spatially Varying Anisotropy in Three Dimensions with Applications to Adaptive Oceanographic Sampling. NORDSTAT 2023

2022

  • Konferanseforedrag
    Fuglstad, Geir-Arne; Castruccio, Stefano. (2022) Non-stationary Global Spatio-Temporal Modelling Using SPDEs. Current Frontiers in Gaussian Processes

2021

  • Konferanseforedrag
    Fuglstad, Geir-Arne; Li, Zehang Richard; Wakefield, Jon. (2021) Spatio-Temporal Estimation of Demographic and Health Indicators From Household Surveys. ISBA 2021 World Meeting
  • Foredrag
    Fuglstad, Geir-Arne. (2021) Regional barnedødelighet i Afrika – ingen skal utelates!. Researchers' Night 2021

2019

  • Konferanseforedrag
    Fuglstad, Geir-Arne; Paige, Johnny; Riebler, Andrea Ingeborg; Wakefield, Jon. (2019) Disease mapping using complex survey data. GEOMED 2019

2017

  • Konferanseforedrag
    Fuglstad, Geir-Arne. (2017) Sensitivity Analysis for Posteriors in INLA. Statistics Seminar
  • Konferanseforedrag
    Fuglstad, Geir-Arne. (2017) Sverdrup-foredrag: Spatial Non-stationarity with Varying Anisotropy. Det 19. Norske Statistikermøtet

2016

  • Konferanseforedrag
    Fuglstad, Geir-Arne. (2016) Constructing sensible priors for spatial fields. Smögen Workshop 2016
  • Konferanseforedrag
    Fuglstad, Geir-Arne. (2016) A New Prior that Penalises the Complexity of Stationary and Non-stationary Spatial Fields. Nordstat 2016
  • Konferanseposter
    Fuglstad, Geir-Arne. (2016) Penalised Complexity Priors for Gaussian Random Fields. ISBA 2016 World Meeting
  • Konferanseforedrag
    Fuglstad, Geir-Arne; Rue, Håvard. (2016) Efficient posterior sensitivity calculations with INLA. Autumn meeting on latent Gaussian models 2016

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