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Poster communications

Bayesian estimation of natural extreme risk measures. Application to agricultural insurance

Meryem Bousebata 1 Geoffroy Enjolras 2 Stéphane Girard 1
1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
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Poster communications
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https://hal.archives-ouvertes.fr/hal-02150604
Contributor : Stephane Girard <>
Submitted on : Friday, June 7, 2019 - 12:04:48 PM
Last modification on : Tuesday, May 11, 2021 - 11:37:45 AM

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Meryem Bousebata, Geoffroy Enjolras, Stéphane Girard. Bayesian estimation of natural extreme risk measures. Application to agricultural insurance. Global Challenges Science Week: International interdisciplinary days of Grenoble Alpes, Jun 2019, Grenoble, France. ⟨hal-02150604⟩

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