Nicolas Desassis

Documents

Publications

	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-03533153v1
	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-03916162v1
	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 Mathematical Geosciences, 2020, ⟨10.1007/s11004-019-09845-1⟩ Article dans une revue hal-02429543v1
	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-02283801v1
	Technical note: Water table mapping accounting for river-aquifer connectivity and human pressure Mathias Maillot , Nicolas Flipo , Agnès Rivière , Nicolas Desassis , Didier Renard Hydrology and Earth System Sciences Discussions, 2019, pp.1-21. ⟨10.5194/hess-2019-101⟩ Article dans une revue hal-02283806v1
	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 Journal de la Société Française de Statistique, 2017, 158 (3), pp.124-158 Article dans une revue hal-02618656v1
	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-01421728v1
	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-01219695v1
	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-01101233v1
	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-01115524v1
	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 hal-00959647v1

	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-03925784v1
	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-03925773v1
	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-03925751v1
	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-03901589v1
	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-03925779v1
	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 PMAG2021 : Magnétisme en Sciences de la Terre, de l'Univers, Nov 2021, Gif-sur-Yvette, France Communication dans un congrès hal-03523165v1
	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-01544651v1
	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-01718948v1
	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-01718964v1
	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-01718950v1
	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-01718961v1
	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-01408632v1
	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-01219764v1
	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-01024302v1
	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-01067676v1
	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-01024298v1
	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-01089327v1
	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-01550707v1
	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-00997035v1
	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-01003057v1
	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-01003060v1
	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-01003065v1
	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-00923610v1
	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-00843350v1
	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-00843369v1
	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-00709250v1
	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-00771540v1
	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-00693166v1
	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-00709329v1
	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-00578132v1
	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-00578150v1
	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-00518112v1
	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-00494852v1
	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-00652079v1
	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-00652081v1
	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-00999939v1
	Stochastic spatio-temporal modeling of forest dynamics Fabien Campillo , Nicolas Desassis International Biometric Conference, Jul 2008, Dublin, Ireland Communication dans un congrès hal-00652074v1

	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-03511188v1
	Fifty Years of Kriging Jean-Paul Chilès , Nicolas Desassis Handbook of Mathematical Geosciences, Springer International Publishing, pp.589-612, 2018 Chapitre d'ouvrage hal-02283798v1

	The SPDE approach for spatio-temporal datasets with advection and diffusion Lucia Clarotto , Denis Allard , Thomas Romary , Nicolas Desassis 2023 Pré-publication, Document de travail hal-03762403v3
	Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach Mike Pereira , Nicolas Desassis , Denis Allard 2022 Pré-publication, Document de travail hal-03760694v2
	A general framework for SPDE-based stationary random fields Ricardo Carrizo Vergara , Denis Allard , Nicolas Desassis 2019 Pré-publication, Document de travail hal-02075383v1
	Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation Mike Pereira , Nicolas Desassis 2019 Pré-publication, Document de travail hal-02075386v1
	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-01799970v1
	Finite element approximation of non-Markovian random fields Mike Pereira , Nicolas Desassis 2018 Pré-publication, Document de travail hal-01913048v1
	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-01213962v2
	A Generalized Convolution Model and Estimation for Non-stationary Random Functions Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard 2014 Pré-publication, Document de travail hal-01090354v1
	Estimation of Space Deformation Model for Non-stationary Random Functions Francky Fouedjio , Nicolas Desassis , Thomas Romary 2014 Pré-publication, Document de travail hal-01090350v1
	Automatic variogram modeling by iterative least squares. Univariate and multivariate cases. Nicolas Desassis , Didier Renard 2012 Pré-publication, Document de travail hal-00707887v2

	Gisement de Lithium Ratones (Argentine): optimisation de l'évaluation géostatistique et premiers éléments sur les facies. Serge Antoine Séguret , Patrick Goblet , Elisabeth Cordier , Nicolas Desassis [Research Report] R151215SSEG, Mines ParisTech; Geosciences. 2015, 53 p Rapport hal-01244752v1
	Experimental variogram in presence of measurement errors Didier Renard , Nicolas Desassis 2014 Rapport hal-00957759v1
	Rapport final du projet Carnot : Géophysique stochastique Nicolas Desassis , Alexandrine Gesret , Mark S. Noble , Thomas Romary 2013 Rapport hal-00795034v1
	Automatic Fitting of an intrinsic model Didier Renard , Nicolas Desassis 2013 Rapport hal-00957760v1
	Geostatistical study of Al-Khabra phosphate ore body with calcination cut-off grades Nicolas Desassis , Jean-Paul Chilès 2012 Rapport hal-00796183v1
	Angle Interpolation Didier Renard , Nicolas Desassis 2011 Rapport hal-00766401v1
	Exploitation du gisement d'Imouraren - Rationalisation de la sélectivité Nicolas Desassis , Jean-Paul Chilès 2009 Rapport hal-00796186v1

Nicolas Desassis

Publications

A general framework for SPDE-based stationary random fields

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

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

Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation

Technical note: Water table mapping accounting for river-aquifer connectivity and human pressure

Analyzing spatio-temporal data with R: Everything you always wanted to know - but were afraid to ask

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

Estimation of space deformation model for non-stationary random functions

Propagation of the velocity model uncertainties to the seismic event location

An automated MCEM algorithm for hierarchical models with multivariate and multitype response variables.

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

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

Deep-learning spatial generation of geological facies

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

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

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

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

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

Some Geostatistical methods through the Stochastic Partial Differential Equation Approach

Road crash density estimation for risk mapping

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

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

Covariance sale decomposition for the kriging of large datasets

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

Estimation Of Non-Stationary Random Fields Through Space Deformation

Estimation of Space Deformation Models for Non-stationary Random Functions

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

Bayesian first arrival travel time tomography by interacting MCMC

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

Bayesian seismic tomography by parallel interacting Markov chains

Estimation Of Non-Stationary Random Fields Through Space Deformation

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

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

Bayesian first arrival travel time tomography by interacting MCMC

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

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

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

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

Inversion sismique dans un milieu aléatoire

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

Microseismic Monitoring: Consequences of Velocity Model Uncertainties on Location Uncertainties

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

Passive Seismic Monitoring - understanding and reducing event location uncertainties

Classification basée sur des mélanges de modèles hiérarchiques bivariés

Individual-based Modelling of Spatio-temporal of Forest Dynamics

Modélisation spatialement explicite d'une dynamique forestière et inférence

Stochastic spatio-temporal modeling of forest dynamics

Stochastic spatio-temporal modeling of forest dynamics

Kriging

Fifty Years of Kriging

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

Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach

A general framework for SPDE-based stationary random fields

Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation

Combining covariance tapering and lasso driven low rank decomposition for the kriging of large spatial datasets

Finite element approximation of non-Markovian random fields

A pairwise likelihood approach for the empirical estimation of the underlying variograms in the plurigaussian models

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

Estimation of Space Deformation Model for Non-stationary Random Functions

Automatic variogram modeling by iterative least squares. Univariate and multivariate cases.

Gisement de Lithium Ratones (Argentine): optimisation de l'évaluation géostatistique et premiers éléments sur les facies.

Experimental variogram in presence of measurement errors

Rapport final du projet Carnot : Géophysique stochastique

Automatic Fitting of an intrinsic model

Geostatistical study of Al-Khabra phosphate ore body with calcination cut-off grades

Angle Interpolation

Exploitation du gisement d'Imouraren - Rationalisation de la sélectivité