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Nicolas Desassis
Nicolas Desassis
Adresse e-mail validée de mines-paristech.fr
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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
772008
Automatic variogram modeling by iterative least squares: univariate and multivariate cases
N Desassis, D Renard
Mathematical geosciences 45 (4), 453-470, 2013
622013
Fifty years of kriging
JP Chilès, N Desassis
Handbook of mathematical geosciences, 589-612, 2018
552018
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
422015
A generalized convolution model and estimation for non-stationary random functions
F Fouedjio, N Desassis, J Rivoirard
Spatial Statistics 16, 35-52, 2016
402016
Estimation of space deformation model for non-stationary random functions
F Fouedjio, N Desassis, T Romary
Spatial statistics 13, 45-61, 2015
392015
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
342012
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
232015
RGeostats: geostatistical package
D Renard, N Bez, N Desassis, H Beucher, F Ors, X Freulon
R package version 10 (2), 2014
192014
RGeostats: The Geostatistical package [11.0. 1]
D Renard, N Bez, N Desassis, H Beucher, F Ors, F Laporte
MINES ParisTech, 2014
162014
Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation
M Pereira, N Desassis
Spatial Statistics 31, 100359, 2019
152019
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
122017
RGeoS: geostatistical package
D Renard, N Bez, N Desassis, H Beucher, F Ors
R package. Version 2, 2005
112005
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
102015
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
92020
Fifty years of Kriging: Handbook of mathematical geosciences
JP Chilès, N Desassis
Cham: Springer I, 2018
82018
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
72009
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
62018
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