Pollen flow in the wildservice tree, Sorbus torminalis (L.) Crantz. IV. Whole interindividual variance of male fecundity estimated jointly with the dispersal kernel EK Klein, N Desassis, S ODDOU‐MURATORIO Molecular Ecology 17 (14), 3323-3336, 2008 | 77 | 2008 |
Automatic variogram modeling by iterative least squares: univariate and multivariate cases N Desassis, D Renard Mathematical geosciences 45 (4), 453-470, 2013 | 62 | 2013 |
Fifty years of kriging JP Chilès, N Desassis Handbook of mathematical geosciences, 589-612, 2018 | 55 | 2018 |
Propagation of the velocity model uncertainties to the seismic event location A Gesret, N Desassis, M Noble, T Romary, C Maisons Geophysical Journal International 200 (1), 52-66, 2015 | 42 | 2015 |
A generalized convolution model and estimation for non-stationary random functions F Fouedjio, N Desassis, J Rivoirard Spatial Statistics 16, 35-52, 2016 | 40 | 2016 |
Estimation of space deformation model for non-stationary random functions F Fouedjio, N Desassis, T Romary Spatial statistics 13, 45-61, 2015 | 39 | 2015 |
Simulation of a Gaussian random vector: a propagative version of the Gibbs sampler C Lantuéjoul, N Desassis The 9th international geostatistics congress, 174-181, 2012 | 34 | 2012 |
RGeostats: The Geostatistical package [version: 11.0. 3] D Renard, N Bez, N Desassis, H Beucher, F Ors, F Laporte MINES ParisTech. Free download from: http://cg. ensmp. fr/rgeostats, 2015 | 23 | 2015 |
RGeostats: geostatistical package D Renard, N Bez, N Desassis, H Beucher, F Ors, X Freulon R package version 10 (2), 2014 | 19 | 2014 |
RGeostats: The Geostatistical package [11.0. 1] D Renard, N Bez, N Desassis, H Beucher, F Ors, F Laporte MINES ParisTech, 2014 | 16 | 2014 |
Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation M Pereira, N Desassis Spatial Statistics 31, 100359, 2019 | 15 | 2019 |
Analyzing spatio-temporal data with R: Everything you always wanted to know–but were afraid to ask R Network Journal de la Société Française de Statistique 158 (3), 124-158, 2017 | 12 | 2017 |
RGeoS: geostatistical package D Renard, N Bez, N Desassis, H Beucher, F Ors R package. Version 2, 2005 | 11 | 2005 |
A general framework for SPDE-based stationary random fields RC Vergara, D Allard, N Desassis arXiv preprint arXiv:1806.04999, 2018 | 10* | 2018 |
RGeostats: The Geostatistical package [version: 11.0. 3]. MINES ParisTech D Renard, N Bez, N Desassis, H Beucher, F Ors, F Laporte | 10 | 2015 |
Analysing Temporal Variability in Spatial Distributions Using Min–Max Autocorrelation Factors: Sardine Eggs in the Bay of Biscay P Petitgas, D Renard, N Desassis, M Huret, JB Romagnan, M Doray, ... Mathematical Geosciences 52 (3), 337-354, 2020 | 9 | 2020 |
Fifty years of Kriging: Handbook of mathematical geosciences JP Chilès, N Desassis Cham: Springer I, 2018 | 8 | 2018 |
Inference with a contrast-based posterior distribution and application in spatial statistics S Soubeyrand, F Carpentier, N Desassis, J Chadœuf Statistical Methodology 6 (5), 466-477, 2009 | 7 | 2009 |
RGeostats: The Geostatistical R package 11.2. 1 MINES ParisTech/ARMINES D Renard, N Bez, N Desassis, H Beucher, F Ors, X Freulon Free download from: http://cg. ensmp. fr/rgeostats, 0 | 7 | |
A general framework for spde-based stationary random fields R Carrizo Vergara, D Allard, N Desassis arXiv e-prints, arXiv: 1806.04999, 2018 | 6 | 2018 |