| Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations H Rue, S Martino, N Chopin Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 5910 | 2009 |
| Approximate Bayesian inference for hierarchical Gaussian Markov random field models H Rue, S Martino Journal of statistical planning and inference 137 (10), 3177-3192, 2007 | 314 | 2007 |
| Implementing approximate Bayesian inference using Integrated Nested Laplace Approximation: A manual for the inla program S Martino, H Rue Department of Mathematical Sciences, NTNU, Norway, 2009 | 155 | 2009 |
| Approximate Bayesian inference for survival models S Martino, R Akerkar, H Rue Scandinavian Journal of Statistics 38 (3), 514-528, 2011 | 139 | 2011 |
| INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion H Rue, S Martino, F Lindgren, D Simpson, A Riebler, ET Krainski R package version 0.0-1404466487, URL http://www. R-INLA. org, 2014 | 109 | 2014 |
| Fitting complex ecological point process models with integrated nested Laplace approximation JB Illian, S Martino, SH Sørbye, JB Gallego‐Fernández, M Zunzunegui, ... Methods in Ecology and Evolution 4 (4), 305-315, 2013 | 105 | 2013 |
| INLA: functions which allow to perform a full Bayesian analysis of structured additive models using Integrated Nested Laplace Approximation H Rue, S Martino, F Lindgren, D Simpson, A Riebler, ET Krainski R package version 0.0, 2009 | 95 | 2009 |
| Hierarchical analysis of spatially autocorrelated ecological data using integrated nested Laplace approximation J Beguin, S Martino, H Rue, SG Cumming Methods in Ecology and Evolution 3 (5), 921-929, 2012 | 88 | 2012 |
| Integrated nested Laplace approximations (INLA) S Martino, A Riebler arXiv preprint arXiv:1907.01248, 2019 | 84 | 2019 |
| Animal models and integrated nested Laplace approximations AM Holand, I Steinsland, S Martino, H Jensen G3: Genes, Genomes, Genetics 3 (8), 1241-1251, 2013 | 75 | 2013 |
| Approximate Bayesian inference in spatial generalized linear mixed models J Eidsvik, S Martino, H Rue Scandinavian journal of statistics 36 (1), 1-22, 2009 | 68 | 2009 |
| Case studies in Bayesian computation using INLA S Martino, H Rue Complex data modeling and computationally intensive statistical methods, 99-114, 2010 | 56 | 2010 |
| Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field R Ingebrigtsen, F Lindgren, I Steinsland, S Martino Spatial Statistics 14, 338-364, 2015 | 47 | 2015 |
| Estimating stochastic volatility models using integrated nested laplace approximations S Martino, K Aas, O Lindqvist, LR Neef, H Rue The European Journal of Finance 17 (7), 487-503, 2011 | 36 | 2011 |
| GMRFLib: a C-library for fast and exact simulation of Gaussian Markov random fields H Rue, T Follestad SIS-2002-236, 2001 | 33 | 2001 |
| Integration of presence‐only data from several sources: a case study on dolphins' spatial distribution S Martino, DS Pace, S Moro, E Casoli, D Ventura, A Frachea, M Silvestri, ... Ecography 44 (10), 1533-1543, 2021 | 31 | 2021 |
| Effects of increased wind power generation on mid-Norway’s energy balance under climate change: a market based approach B François, S Martino, LS Tøfte, B Hingray, B Mo, JD Creutin Energies 10 (2), 227, 2017 | 30 | 2017 |
| Spatio-temporal modelling of PM10 daily concentrations in Italy using the SPDE approach G Fioravanti, S Martino, M Cameletti, G Cattani Atmospheric Environment 248, 118192, 2021 | 25 | 2021 |
| Implementing approximate Bayesian inference for survival analysis using integrated nested Laplace approximations R Akerkar, S Martino, H Rue Prepr Stat Nor Univ Sci Technol 1, 1-38, 2010 | 22 | 2010 |
| Spatial modelling of temperature and humidity using systems of stochastic partial differential equations X Hu, I Steinsland, D Simpson, S Martino, H Rue arXiv preprint arXiv:1307.1402, 2013 | 15 | 2013 |
