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

Mike Pereira , Nicolas Desassis , Denis Allard
2022
Preprints, Working Papers, ... hal-03760694v2

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

Discussion on “Competition on Spatial Statistics for Large Datasets”

Denis Allard , Lucia Clarotto , Thomas Opitz , Thomas Romary
Journal of Agricultural, Biological, and Environmental Statistics, 2021, 26 (4), pp.604-611. ⟨10.1007/s13253-021-00462-2⟩
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
Spatial Statistics, 2022, 47, pp.100570. ⟨10.1016/j.spasta.2021.100570⟩
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
Statistical Methodology, 2009, 6 (5), pp.466-477. ⟨10.1016/j.stamet.2009.03.003⟩
Journal articles hal-02409013v1

Fully nonseparable Gneiting covariance functions for multivariate space–time data

Denis Allard , Lucia Clarotto , Xavier Emery
Spatial Statistics, 2022, 52, pp.100706. ⟨10.1016/j.spasta.2022.100706⟩
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

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⟩
Journal articles 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⟩
Journal articles hal-03916162v1

Simulating space-time random fields with nonseparable Gneiting-type covariance functions

Denis Allard , Xavier Emery , Céline Lacaux , Christian Lantuéjoul
Statistics and Computing, 2020, 30 (5), pp.1479-1495. ⟨10.1007/s11222-020-09956-4⟩
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

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