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Spatio-temporal modelling of the spread of chalara (illness of the ash tree) in France

Anne Gégout-Petit 1, 2 Coralie Fritsch 3 Marie Grosdidier 4 Benoit Marçais 4
1 BIGS - Biology, genetics and statistics
Inria Nancy - Grand Est, IECL - Institut Élie Cartan de Lorraine
2 IECL - Institut Élie Cartan de Lorraine
3 TOSCA - TO Simulate and CAlibrate stochastic models
CRISAM - Inria Sophia Antipolis - Méditerranée , IECL - Institut Élie Cartan de Lorraine : UMR7502
4 IAM - Interactions Arbres-Microorganismes
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Conference papers
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https://hal.inria.fr/hal-01925454
Contributor : Anne Gégout-Petit <>
Submitted on : Friday, November 16, 2018 - 4:56:55 PM
Last modification on : Wednesday, September 8, 2021 - 4:02:07 PM

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  • HAL Id : hal-01925454, version 1

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CNRS | INRA | INSMI | UNIV-LORRAINE | INRIA | IECN | UNIV-COTEDAZUR | IAM-UL | IECLPS | INRAE | A2F-UL

Citation

Anne Gégout-Petit, Coralie Fritsch, Marie Grosdidier, Benoit Marçais. Spatio-temporal modelling of the spread of chalara (illness of the ash tree) in France. CMStatistics 2018 - 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2018, Pisa, Italy. ⟨hal-01925454⟩

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