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

Meryem Bousebata 1 Geoffroy Enjolras 2 Stéphane Girard 1
1 MISTIS [2016-2019] - Modelling and Inference of Complex and Structured Stochastic Systems [2016-2019]
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann , Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
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https://hal.archives-ouvertes.fr/hal-02276292
Contributor : Stephane Girard <>
Submitted on : Monday, September 2, 2019 - 3:45:43 PM
Last modification on : Tuesday, October 6, 2020 - 12:44:48 PM

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Meryem Bousebata, Geoffroy Enjolras, Stéphane Girard. Bayesian estimation of natural extreme risk measures. Application to agricultural insurance. IDRiM 2019 - 10th conference of the international society for Integrated Disaster Risk Management, Oct 2019, Nice, France. ⟨hal-02276292⟩

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