| 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 | 358 | 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 | 311 | 2018 |
| Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic A Cosandey-Godin, ET Krainski, B Worm, JM Flemming Canadian Journal of Fisheries and Aquatic Sciences 72 (2), 186-197, 2015 | 147 | 2015 |
| Direct fitting of dynamic models using integrated nested Laplace approximations—INLA R Ruiz-Cárdenas, ET Krainski, H Rue Computational Statistics & Data Analysis 56 (6), 1808-1828, 2012 | 93 | 2012 |
| Neighborhood dependence in Bayesian spatial models R Assunção, E Krainski Biometrical Journal: Journal of Mathematical Methods in Biosciences 51 (5 …, 2009 | 79 | 2009 |
| 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 | 76 | 2016 |
| The R-INLA tutorial on SPDE models ET Krainski, F Lindgren, D Simpson, H Rue http://www.r-inla.org/examples/tutorials/spde-tutorial, 2016 | 60 | 2016 |
| Spatial pattern of trees affected by black spot in citrus groves in Brazil MB Spósito, L Amorim, PJ Ribeiro Jr, RB Bassanezi, ET Krainski Plant Disease 91 (1), 36-40, 2007 | 55 | 2007 |
| Tuberculosis inequalities and socio-economic deprivation in Portugal D Apolinário, AI Ribeiro, E Krainski, P Sousa, M Abranches, R Duarte The International Journal of Tuberculosis and Lung Disease 21 (7), 784-789, 2017 | 52 | 2017 |
| A new avenue for Bayesian inference with INLA J Van Niekerk, E Krainski, D Rustand, H Rue Computational Statistics & Data Analysis 181, 107692, 2023 | 43 | 2023 |
| The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal AI Ribeiro, ET Krainski, MS Carvalho, MF de Pina Geospatial Health 12 (2), 2017 | 30 | 2017 |
| Where do people live longer and shorter lives? An ecological study of old-age survival across 4404 small areas from 18 European countries AI Ribeiro, ET Krainski, MS Carvalho, MF de Pina J Epidemiol Community Health 70 (6), 561-568, 2016 | 30 | 2016 |
| Determinants of multidrug‐resistant tuberculosis in São Paulo—Brazil: a multilevel Bayesian analysis of factors associated with individual, community and access to health services LH Arroyo, M Yamamura, ACV Ramos, LT Campoy, JA Crispim, TZ Berra, ... Tropical Medicine & International Health 25 (7), 839-849, 2020 | 26 | 2020 |
| A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA C Forlani, S Bhatt, M Cameletti, E Krainski, M Blangiardo Environmetrics 31 (8), e2644, 2020 | 23 | 2020 |
| Spatial patterns of the Citrus leprosis virus and its associated mite vector in systems without intervention RB Bassanezi, ABC Czermainski, FF Laranjeira, AS Moreira, PJ Ribeiro, ... Plant Pathology 68 (1), 85-93, 2019 | 22 | 2019 |
| Using Bayesian spatial models to map and to identify geographical hotspots of multidrug-resistant tuberculosis in Portugal between 2000 and 2016 O Oliveira, AI Ribeiro, ET Krainski, T Rito, R Duarte, M Correia-Neves Scientific reports 10 (1), 16646, 2020 | 21 | 2020 |
| The influence of socioeconomic, biogeophysical and built environment on old-age survival in a Southern European city AI Ribeiro, ET Krainski, R Autran, H Teixeira, MS Carvalho, MF de Pina Health & Place 41, 100-109, 2016 | 18 | 2016 |
| A diffusion-based spatio-temporal extension of Gaussian Mat\'ern fields F Lindgren, H Bakka, D Bolin, E Krainski, H Rue arXiv preprint arXiv:2006.04917, 2020 | 16 | 2020 |
| The diffusion-based extension of the Matérn field to space-time H Bakka, E Krainski, D Bolin, H Rue, F Lindgren arXiv preprint arXiv:2006.04917 4 (10), 2020 | 15 | 2020 |
| Can collective memories shape fish distributions? A test, linking space‐time occurrence models and population demographics JI Macdonald, K Logemann, ET Krainski, Þ Sigurðsson, CM Beale, ... Ecography 41 (6), 938-957, 2018 | 15 | 2018 |
Håvard RueKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
