| Spatial modeling with RINLA: 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 | 256 | 2018 |
| 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 5 (1), 523-550, 2011 | 157 | 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 | 133 | 2015 |
| Geostatistical modelling using nonGaussian Matérn fields J Wallin, D Bolin Scandinavian Journal of Statistics 42 (3), 872-890, 2015 | 80 | 2015 |
| Spatial Matérn fields driven by non-Gaussian noise D Bolin Scandinavian Journal of Statistics 41 (3), 557–579, 2014 | 74 | 2014 |
| Numerical solution of fractional elliptic stochastic PDEs with spatial white noise D Bolin, K Kirchner, M Kovács IMA Journal of Numerical Analysis 40 (2), 1051–1073, 2020 | 61 | 2020 |
| The rational SPDE approach for Gaussian random fields with general smoothness D Bolin, K Kirchner Journal of Computational and Graphical Statistics, 1-27, 2019 | 57 | 2019 |
| A Bayesian general linear modeling approach to cortical surface fMRI data analysis AF Mejia, Y Yue, D Bolin, F Lindgren, MA Lindquist Journal of the American Statistical Association 115 (530), 501-520, 2020 | 49 | 2020 |
| Statistical modeling and estimation of censored pathloss data C Gustafson, T Abbas, D Bolin, F Tufvesson IEEE Wireless Communications Letters 4 (5), 569-572, 2015 | 46 | 2015 |
| A comparison between Markov approximations and other methods for large spatial data sets D Bolin, F Lindgren Computational Statistics & Data Analysis 61, 7-21, 2013 | 43 | 2013 |
| Fast Bayesian whole-brain fMRI analysis with spatial 3D priors P Sidén, A Eklund, D Bolin, M Villani NeuroImage 146, 211-225, 2017 | 41 | 2017 |
| The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running F Lindgren, D Bolin, H Rue Spatial Statistics 50, 100599, 2022 | 39 | 2022 |
| The COST IRACON geometry-based stochastic channel model for vehicle-to-vehicle communication in intersections C Gustafson, K Mahler, D Bolin, F Tufvesson IEEE transactions on vehicular technology 69 (3), 2365-2375, 2020 | 36 | 2020 |
| Multivariate type G Matérn stochastic partial differential equation random fields D Bolin, J Wallin Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020 | 31* | 2020 |
| Structure of plot systems and economic activity in cities: Linking plot types to retail and food services in London, Amsterdam and Stockholm E Bobkova, L Marcus, M Berghauser Pont, I Stavroulaki, D Bolin Urban Science 3 (3), 66, 2019 | 30 | 2019 |
| Calculating probabilistic excursion sets and related quantities using excursions D Bolin, F Lindgren Journal of Statistical Software 86 (5), 1-20, 2018 | 30 | 2018 |
| Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields D Bolin, J Lindström, L Eklundh, F Lindgren Computational statistics & data analysis 53 (8), 2885-2896, 2009 | 30 | 2009 |
| Prediction of diffusive transport through polymer films from characteristics of the pore geometry S Barman, H Rootzén, D Bolin AIChE Journal 65 (1), 446-457, 2019 | 28 | 2019 |
| Weak convergence of Galerkin approximations for fractional elliptic stochastic PDEs with spatial white noise D Bolin, K Kirchner, M Kovács BIT Numerical Mathematics 58 (4), 881-906, 2018 | 27 | 2018 |
| Modeling the polarimetric mm-wave propagation channel using censored measurements C Gustafson, D Bolin, F Tufvesson 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 21 | 2016 |
Finn LindgrenUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
