Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach
Mike Pereira
,
Nicolas Desassis
,
Denis Allard
2022
Preprints, Working Papers, ...
hal-03760694v2
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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⟩
Conference papers
hal-03925751v1
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Discussion on “Competition on Spatial Statistics for Large Datasets”
Denis Allard
,
Lucia Clarotto
,
Thomas Opitz
,
Thomas Romary
Journal articles
hal-03443271v1
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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
Journal articles
hal-02618656v1
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A new class of α-transformations for the spatial analysis of Compositional Data
Lucia Clarotto
,
Denis Allard
,
Alessandra Menafoglio
Journal articles
hal-03379935v2
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Inference with a contrast-based posterior distribution and application in spatial statistics
Samuel Soubeyrand
,
Florence Carpentier
,
Nicolas Desassis
,
Joël Chadœuf
Journal articles
hal-02409013v1
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Fully nonseparable Gneiting covariance functions for multivariate space–time data
Denis Allard
,
Lucia Clarotto
,
Xavier Emery
Journal articles
hal-04160615v1
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The SPDE approach for spatio-temporal datasets with advection and diffusion
Lucia Clarotto
,
Denis Allard
,
Thomas Romary
,
Nicolas Desassis
2023
Preprints, Working Papers, ...
hal-03762403v3
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A general framework for SPDE-based stationary random fields
Ricardo Carrizo Vergara
,
Denis Allard
,
Nicolas Desassis
Journal articles
hal-03533153v1
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Geostatistics for Large Datasets on Riemannian Manifolds: A Matrix-Free Approach
Mike Pereira
,
Nicolas Desassis
,
Denis Allard
Journal articles
hal-03916162v1
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Simulating space-time random fields with nonseparable Gneiting-type covariance functions
Denis Allard
,
Xavier Emery
,
Céline Lacaux
,
Christian Lantuéjoul
Journal articles
hal-02504783v1
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Fully nonseparable Gneiting covariance functions for multivariate space-time data
Denis Allard
,
Lucia Clarotto
,
Xavier Emery
2022
Preprints, Working Papers, ...
hal-03564931v1
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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
Conference papers
hal-03925779v1
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