Finn Lindgren

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Håvard RueKing Abdullah University of Science and TechnologyBekræftet mail på kaust.edu.sa
Daniel SimpsonMonash UniversityBekræftet mail på monash.edu
Johan LindströmAssociate Professor of Mathematical Statistics, Centre for Mathematical Sciences, Lund UniversityBekræftet mail på matstat.lu.se
David BolinKing Abdullah University of Science and TechnologyBekræftet mail på kaust.edu.sa
Elias Teixeira KrainskiKAUSTBekræftet mail på kaust.edu.sa
Geir-Arne FuglstadNorwegian University of Science and TechnologyBekræftet mail på ntnu.no
Andrea RieblerDepartment of Mathematical Sciences, NTNU, Trondheim, NorwayBekræftet mail på math.ntnu.no
Dorit HammerlingAssociate Professor of StatisticsBekræftet mail på mines.edu
Douglas NychkaProfessor, Applied Mathematics and Statistics, Colorado School of MinesBekræftet mail på mines.edu
Eric GillelandNational Center for Atmospheric ResearchBekræftet mail på ucar.edu
Ingelin SteinslandNTNUBekræftet mail på math.ntnu.no
Haakon BakkaPostDoc, University of OsloBekræftet mail på math.uio.no
Michela CamelettiUniversità degli studi di BergamoBekræftet mail på unibg.it
Sigrunn Holbek SørbyeUiT The Arctic University of NorwayBekræftet mail på uit.no
Andrew Zammit MangionUniversity of WollongongBekræftet mail på uow.edu.au
Sara MartinoNorwegian University of Science and TechnologyBekræftet mail på ntnu.no
Stephan R SainJupiterBekræftet mail på alumni.rice.edu
Soutir BandyopadhyayColorado School of MinesBekræftet mail på mines.edu
John KennedyMet Office, Hadley CentreBekræftet mail på metoffice.gov.uk

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Finn Lindgren

University of Edinburgh

Bekræftet mail på ed.ac.uk


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015 S Bhatt, DJ Weiss, E Cameron, D Bisanzio, B Mappin, U Dalrymple, ... Nature 526 (7572), 207-211, 2015	2439	2015
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach F Lindgren, H Rue, J Lindström Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011	2353	2011
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of statistical software 63, 1-25, 2015	905	2015
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	542	2013
Bayesian computing with INLA: a review H Rue, A Riebler, SH Sørbye, JB Illian, DP Simpson, FK Lindgren Annual Review of Statistics and Its Application 4, 395-421, 2017	518	2017
Spatio-temporal modeling of particulate matter concentration through the SPDE approach M Cameletti, F Lindgren, D Simpson, H Rue AStA Advances in Statistical Analysis 97, 109-131, 2013	370	2013
A multiresolution Gaussian process model for the analysis of large spatial datasets D Nychka, S Bandyopadhyay, D Hammerling, F Lindgren, S Sain Journal of Computational and Graphical Statistics 24 (2), 579-599, 2015	321	2015
A case study competition among methods for analyzing large spatial data MJ Heaton, A Datta, AO Finley, R Furrer, J Guinness, R Guhaniyogi, ... Journal of Agricultural, Biological and Environmental Statistics 24, 398-425, 2019	299	2019
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	294	2019
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	234	2018
Advanced spatial modeling with stochastic partial differential equations using R and INLA E Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ... Chapman and Hall/CRC, 2018	230	2018
Going off grid: Computationally efficient inference for log-Gaussian Cox processes D Simpson, JB Illian, F Lindgren, SH Sørbye, H Rue Biometrika 103 (1), 49-70, 2016	226	2016
Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping D Bolin, F Lindgren The Annals of Applied Statistics, 523-550, 2011	148	2011
Excursion and contour uncertainty regions for latent Gaussian models D Bolin, F Lindgren Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015	129	2015
Think continuous: Markovian Gaussian models in spatial statistics D Simpson, F Lindgren, H Rue Spatial Statistics 1, 16-29, 2012	115	2012
In order to make spatial statistics computationally feasible, we need to forget about the covariance function D Simpson, F Lindgren, H Rue Environmetrics 23 (1), 65-74, 2012	115	2012
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	113	2015
Spatial models with explanatory variables in the dependence structure R Ingebrigtsen, F Lindgren, I Steinsland Spatial Statistics 8, 20-38, 2014	103	2014
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	102	2015
On the second‐order random walk model for irregular locations F Lindgren, H Rue Scandinavian journal of statistics 35 (4), 691-700, 2008	102	2008

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