Nicolas Desassis

73
Documents

Publications

Publications

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The SPDE approach for spatio-temporal datasets with advection and diffusion

Lucia Clarotto , Denis Allard , Thomas Romary , Nicolas Desassis
Spatial Statistics, 2024, 62, pp.100847. ⟨10.1016/j.spasta.2024.100847⟩
Article dans une revue hal-04663802 v1
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A stable deep adversarial learning approach for geological facies generation

Ferdinand Bhavsar , Nicolas Desassis , Fabien Ors , Thomas Romary
Computers & Geosciences, 2024, 190, pp.105638. ⟨10.1016/j.cageo.2024.105638⟩
Article dans une revue hal-04751800 v1

A general framework for SPDE-based stationary random fields

Ricardo Carrizo Vergara , Denis Allard , Nicolas Desassis
Bernoulli, 2022, 28 (1), pp.1-32. ⟨10.3150/20-BEJ1317⟩
Article dans une revue hal-03533153 v1

Geostatistics for Large Datasets on Riemannian Manifolds: A Matrix-Free Approach

Mike Pereira , Nicolas Desassis , Denis Allard
Journal of Data Science, 2022, pp.512-532. ⟨10.6339/22-JDS1075⟩
Article dans une revue hal-03916162 v1

Analysing Temporal Variability in Spatial Distributions Using Min–Max Autocorrelation Factors: Sardine Eggs in the Bay of Biscay

Pierre Petitgas , Didier Renard , Nicolas Desassis , Martin Huret , Jean-Baptiste Romagnan et al.
Mathematical Geosciences, 2020, ⟨10.1007/s11004-019-09845-1⟩
Article dans une revue hal-02429543 v1
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Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation

Mike Pereira , Nicolas Desassis
Spatial Statistics, 2019, 31, pp.100359. ⟨10.1016/j.spasta.2019.100359⟩
Article dans une revue hal-02283801 v1
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Technical note: Water table mapping accounting for river-aquifer connectivity and human pressure

Mathias Maillot , Nicolas Flipo , Agnès Rivière , Nicolas Desassis , Didier Renard et al.
Hydrology and Earth System Sciences Discussions, 2019, pp.1-21. ⟨10.5194/hess-2019-101⟩
Article dans une revue hal-02283806 v1
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Analyzing spatio-temporal data with R: Everything you always wanted to know - but were afraid to ask

Denis Allard , Maxime Beauchamp , Liliane Bel , Nicolas Desassis , Ghislain Geniaux et al.
Journal de la Société Française de Statistique, 2017, 158 (3), pp.124-158
Article dans une revue hal-02618656 v1

A generalized convolution model and estimation for non-stationary random functions

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard
Spatial Statistics, 2016, ⟨10.1016/j.spasta.2016.01.002⟩
Article dans une revue hal-01421728 v1

Estimation of space deformation model for non-stationary random functions

Francky Fouedjio , Nicolas Desassis , Thomas Romary
Spatial Statistics, 2015, 13, pp.45-61. ⟨10.1016/j.spasta.2015.05.001⟩
Article dans une revue hal-01219695 v1

Propagation of the velocity model uncertainties to the seismic event location

Alexandrine Gesret , Nicolas Desassis , Mark S. Noble , Thomas Romary , Christophe Maisons
Geophysical Journal International, 2015, 200 ((1)), pp.52-66. ⟨10.1093/gji/ggu374⟩
Article dans une revue hal-01101233 v1
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An automated MCEM algorithm for hierarchical models with multivariate and multitype response variables.

Vera Georgescu , Nicolas Desassis , Samuel S. Soubeyrand , André Kretzschmar , Rachid Senoussi
Communications in Statistics - Theory and Methods, 2014, 43 (17), pp.3698-3719. ⟨10.1080/03610926.2012.700372⟩
Article dans une revue hal-01115524 v1

Automatic Variogram Modeling by Iterative Least Squares: Univariate and Multivariate Cases

Nicolas Desassis , Didier Renard
Mathematical Geology, 2013, 45 (4), pp 453-470 DOI 10.1007/s11004-012-9434-1. ⟨10.1007/s11004-012-9434-1⟩
Article dans une revue istex hal-00959647 v1

Application of SPDE method to a continental-fluvial uranium ore body and comparison with classical methods

Marie-Cécile Febvey , Nicolas Desassis , Didier Renard
21th IAMG Conference (Nancy 2022), Sep 2022, Nancy, France
Communication dans un congrès hal-03925784 v1

The SPDE approach for spatio-temporal datasets with advection and diffusion : A matrix-free approach

Lucia Clarotto , Denis Allard , Thomas Romary , Nicolas Desassis
15th International Conference of the ERCIM WG on Com- putational and Methodological Statistics (CMStatistics 2022), ERCIM, Dec 2022, London, United Kingdom. ⟨10.48550/arXiv.2208.14015⟩
Communication dans un congrès hal-03925751 v1

Deep-learning spatial generation of geological facies

Ferdinand Bhavsar , Thomas Romary , Fabien Ors , Nicolas Desassis
21th IAMG Conference, Sep 2022, Nancy, France
Communication dans un congrès hal-03925773 v1

First Steps in the Application of Physics-Informed Neural Networks to Full Waveform Inversion

Leo De Souza , Hervé Chauris , Nicolas Desassis , Elie Hachem
83rd EAGE Annual Conference & Exhibition Workshop Programme, Jun 2022, Madrid, Spain. pp.1-5, ⟨10.3997/2214-4609.202211045⟩
Communication dans un congrès hal-03901589 v1

Spatio-temporal modeling with stochastic partial differential equations : simulation and inference

Lucia Clarotto , Denis Allard , Nicolas Desassis , Thomas Romary
21th IAMG Conference, Aug 2022, Nancy, France
Communication dans un congrès hal-03925779 v1
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Adjustment of alluvial fill geometry to regressive erosion and bedrock lithology in the Oise valley, Seine River catchment (France)

Diana Chourio-Camacho , Jean-Louis Grimaud , Nicolas Desassis , Didier Renard , Hélène Tissoux et al.
Quaternaire 13, Mar 2022, Strasboug, France
Communication dans un congrès hal-04620920 v1

Traçage de particules métalliques atmosphériques en zone urbaine par des mesures magnétiques sur des écorces d’arbre

Christine Franke , Claire Carvallo , Aude Isambert , Laure Turcati , Mélina Macouin et al.
PMAG2021 : Magnétisme en Sciences de la Terre, de l'Univers, Nov 2021, Gif-sur-Yvette, France
Communication dans un congrès hal-03523165 v1

Uncertainty estimation by probabilistic first arrival time tomography using Markov Chain Monte Carlo sampling

Alexandrine Gesret , Jihane Belhadj , Thomas Romary , Mark S. Noble , Nicolas Desassis
79th EAGE Conference and Exhibition 2017, 2017, Paris, France. ⟨10.3997/2214-4609.201701694⟩
Communication dans un congrès hal-01544651 v1

Some Geostatistical methods through the Stochastic Partial Differential Equation Approach

Didier Renard , Nicolas Desassis , Xavier Freulon
18th IAMG Conference, Perth, Sep 2017, Perth, Australia
Communication dans un congrès hal-01718948 v1

Conditional Simulation of Gaussian Spatio-temporal Random Field With Specified Covariance, Based On the SPDE Approach

Nicolas Desassis , Ricardo Carrizo V. , Christian Lantuéjoul
27th Annual Conference of The International Environmetrics Society Jul 2017, BERGAMO, Jul 2017, Bergamo, Italy
Communication dans un congrès hal-01718950 v1

Road crash density estimation for risk mapping

Mike Pereira , Nicolas Desassis
Spatial Statistics 2017: One World: One Health, Jul 2017, Lancaster, United Kingdom
Communication dans un congrès hal-01718964 v1

Spatio-temporal covariance models as solutions of stochastic partial differential equations

Ricardo Carrizo V. , Nicolas Desassis , Denis Allard
Spatial Statistics 2017: One World: One Health, Jul 2017, Lancaster, United Kingdom
Communication dans un congrès hal-01718961 v1

Covariance sale decomposition for the kriging of large datasets

Thomas Romary , Nicolas Desassis , Francky Fouedjio
Geostats 2016, Sep 2016, Valencia, Spain
Communication dans un congrès hal-01408632 v1

A full scale, non stationary approach for the kriging of large datasets

Thomas Romary , Nicolas Desassis , Francky Fouedjio
Spatial Statistics Conference 2015, Jun 2015, Avignon, France
Communication dans un congrès hal-01219764 v1

Estimation Of Non-Stationary Random Fields Through Space Deformation

Francky Fouedjio , Nicolas Desassis , Thomas Romary , Jacques Rivoirard
10th Conference on Geostatistics for Environmental Applications, Jul 2014, Paris, France
Communication dans un congrès hal-01024302 v1

Estimation of Space Deformation Models for Non-stationary Random Functions

Francky Fouedjio , Nicolas Desassis , Thomas Romary
21st International Conference on Computational Statistics, Aug 2014, Genève, Switzerland
Communication dans un congrès hal-01067676 v1

A Generalized Convolution Model and Estimation for Non-stationary Random Fields

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard
10th Conference on Geostatistics for Environmental Applications, Jul 2014, Paris, France
Communication dans un congrès hal-01024298 v1

Bayesian first arrival travel time tomography by interacting MCMC

Thomas Romary , Alexis Bottero , Mark S. Noble , Alexandrine Gesret , Nicolas Desassis
geoENV 2014, Jul 2014, Paris, France
Communication dans un congrès hal-01089327 v1

Experimental Variograms Of The Underlying Gaussian Random Functions In The Truncated Pluri- Gaussian Models

Nicolas Desassis , Didier Renard , Hélène Beucher , Stéphanie Hamilton , Joan Esterle
GeoEnv, 2014, Paris, France
Communication dans un congrès hal-01550707 v1

Bayesian seismic tomography by parallel interacting Markov chains

Alexandrine Gesret , Alexis Bottero , Thomas Romary , Mark S. Noble , Nicolas Desassis
EGU General Assembly, 2014, Austria. pp.Vol. 16, EGU2014-6997-1, 2014
Communication dans un congrès hal-00997035 v1

Estimation Of Non-Stationary Random Fields Through Space Deformation

Francky Fouedjio , Nicolas Desassis , Thomas Romary
11th German Probability and Statistics Days, Mar 2014, Ulm, Germany
Communication dans un congrès hal-01003057 v1

A Generalized Convolution Model and Estimation for Non-stationary Random Fields

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard
Workshop Rencontres Statistiques Au Sommet de Rochebrune, Mar 2014, Rochebrune, France
Communication dans un congrès hal-01003060 v1

Estimation de Fonctions Aléatoires Non-stationnaires de Second Ordre par Déformation Spatiale

Francky Fouedjio , Nicolas Desassis , Thomas Romary
46èmes journées de la Société Française de Statistique (SFdS), Jun 2014, Rennes, France. pp.242
Communication dans un congrès hal-01003065 v1

Bayesian first arrival travel time tomography by interacting MCMC

Thomas Romary , Alexis Bottero , Alexandrine Gesret , Nicolas Desassis , Mark S. Noble
15th Annual Conference of the International Association for Mathematical Geosciences, Sep 2013, Madrid, Spain
Communication dans un congrès hal-00923610 v1

A new Bayesian approach of tomography and seismic event location dedicated to the estimation of the true uncertainties

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary
EGU General Assembly 2013, 2013, Austria
Communication dans un congrès hal-00843350 v1

Microseismic Monitoring - Consequences of Velocity Model Uncertainties on Event Location Uncertainties

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary
75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, 2013, United Kingdom. pp.1
Communication dans un congrès hal-00843369 v1

Simulation of a Gaussian random vector: A propagative version of the Gibbs sampler.

Christian Lantuéjoul , Nicolas Desassis
The 9th International Geostatistics Congress, Oslo., Jun 2012, Oslo, Norway. pp.1747181
Communication dans un congrès hal-00709250 v1

Estimation of the velocity model uncertainties and of the associated uncertainties on microseismic event locations by a Bayesian approach

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary
AGU 2012 Fall Meeting, Dec 2012, United States
Communication dans un congrès hal-00771540 v1

Microseismic Monitoring: Consequences of Velocity Model Uncertainties on Location Uncertainties

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary
Third Passive Seismic Workshop, Eur. Ass. of Geoscientists and Engineers, Athens - Greece (2011), Mar 2011, Athens, Greece. pp.PAS31
Communication dans un congrès hal-00578132 v1

Simulation d'un vecteur gaussien: Une approche propagative de l'echantillonneur de Gibbs

Nicolas Desassis , Christian Lantuéjoul
43èmes journées de la Société Française de Statistique (SFdS), Tunis., May 2011, Tunis, Tunisie. pp.Inconnue
Communication dans un congrès hal-00709329 v1

Inversion sismique dans un milieu aléatoire

Nicolas Desassis , Thomas Romary , Alexandrine Gesret , Mark S. Noble
42e Journées de Statistique, 2011, Tunisie
Communication dans un congrès hal-00693166 v1

Microseismic monitoring: new accurate estimate of velocity model uncertainties and consequences on location uncertainties

Alexandrine Gesret , Mark S. Noble , Thomas Romary , Nicolas Desassis
EGU General Assembly 2011, Apr 2011, Austria
Communication dans un congrès hal-00578150 v1

Passive Seismic Monitoring - understanding and reducing event location uncertainties

Mark S. Noble , Alexandrine Gesret , Nicolas Desassis , Thomas Romary
ESC 2010 European Seismological Commission 32nd General Assembly, Sep 2010, Montpellier, France
Communication dans un congrès hal-00518112 v1
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Classification basée sur des mélanges de modèles hiérarchiques bivariés

Vera Georgescu , Nicolas Desassis , Samuel Soubeyrand , André Kretzschmar , Rachid Senoussi
42èmes Journées de Statistique, 2010, Marseille, France, France
Communication dans un congrès inria-00494852 v1

Individual-based Modelling of Spatio-temporal of Forest Dynamics

Fabien Campillo , Nicolas Desassis , Vivien Rossi
Joint Meeting of the Statistical Society of Canada and the Société Française de Statistique, May 2008, Ottawa, Canada. n.p
Communication dans un congrès hal-00652079 v1

Modélisation spatialement explicite d'une dynamique forestière et inférence

Fabien Campillo , Nicolas Desassis , Vivien Rossi
Journées MAS de la SMAI, Aug 2008, Rennes, France. n.p
Communication dans un congrès hal-00652081 v1

Stochastic spatio-temporal modeling of forest dynamics

Fabien F. Campillo , Nicolas Desassis
24. International Biometric Conference, Jul 2008, Dublin, Ireland. n.p
Communication dans un congrès hal-00999939 v1

Stochastic spatio-temporal modeling of forest dynamics

Fabien Campillo , Nicolas Desassis
International Biometric Conference, Jul 2008, Dublin, Ireland
Communication dans un congrès hal-00652074 v1
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Neural SPDE solver for uncertainty quantification in high-dimensional ocean dynamics

Maxime Beauchamp , Pierre Tandeo , Nicolas Desassis , Ronan Fablet
2024 - 55th International Liege Colloquium on Ocean Dynamics, May 2024, Liège (B), Belgium. pp.1-1, 2024
Poster de conférence hal-04675414 v1
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New constraints on the age and geometry of alluvial fills in the valley bottoms of the Seine River catchment (France)

Diana Chourio-Camacho , Jean-Louis Grimaud , Fabien Ors , Nicolas Desassis , Didier Renard et al.
JOURNÉE AFEQ-SGF – 60 ANS D’ÉTUDES SUR LE QUATERNAIRE : LE PASSÉ A DE L’AVENIR, Nov 2022, Paris, France
Poster de conférence hal-04620913 v1

Kriging

Xavier Freulon , Nicolas Desassis
Encyclopedia of Mathematical Geosciences, Springer International Publishing, pp.1-9, 2022, Encyclopedia of Earth Sciences Series, ⟨10.1007/978-3-030-26050-7_18-1⟩
Chapitre d'ouvrage hal-03511188 v1

Fifty Years of Kriging

Jean-Paul Chilès , Nicolas Desassis
Handbook of Mathematical Geosciences, Springer International Publishing, pp.589-612, 2018
Chapitre d'ouvrage hal-02283798 v1
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The SPDE approach for spatio-temporal datasets with advection and diffusion

Lucia Clarotto , Denis Allard , Thomas Romary , Nicolas Desassis
2024
Pré-publication, Document de travail hal-03762403 v4
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Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors

Maxime Beauchamp , Ronan Fablet , Simon Benaichouche , Pierre Tandeo , Nicolas Desassis et al.
2024
Pré-publication, Document de travail hal-04675468 v1
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Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach

Mike Pereira , Nicolas Desassis , Denis Allard
2022
Pré-publication, Document de travail hal-03760694 v2

A general framework for SPDE-based stationary random fields

Ricardo Carrizo Vergara , Denis Allard , Nicolas Desassis
2019
Pré-publication, Document de travail hal-02075383 v1

Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation

Mike Pereira , Nicolas Desassis
2019
Pré-publication, Document de travail hal-02075386 v1
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Finite element approximation of non-Markovian random fields

Mike Pereira , Nicolas Desassis
2018
Pré-publication, Document de travail hal-01913048 v1
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Combining covariance tapering and lasso driven low rank decomposition for the kriging of large spatial datasets

Thomas Romary , Nicolas Desassis
2018
Pré-publication, Document de travail hal-01799970 v1
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A pairwise likelihood approach for the empirical estimation of the underlying variograms in the plurigaussian models

Nicolas Desassis , Didier Renard , Hélène Beucher , Sylvain Petiteau , Xavier Freulon
2015
Pré-publication, Document de travail hal-01213962 v2
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Estimation of Space Deformation Model for Non-stationary Random Functions

Francky Fouedjio , Nicolas Desassis , Thomas Romary
2014
Pré-publication, Document de travail hal-01090350 v1
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A Generalized Convolution Model and Estimation for Non-stationary Random Functions

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard
2014
Pré-publication, Document de travail hal-01090354 v1
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Automatic variogram modeling by iterative least squares. Univariate and multivariate cases.

Nicolas Desassis , Didier Renard
2012
Pré-publication, Document de travail hal-00707887 v2