ExtremeRisks
Extreme Risks Measures
A set of procedures for estimating risks related to extreme events via risk measures such as Expectile, Value-at-Risk, etc. is provided. Estimation methods for univariate independent observations and temporal dependent observations are available. The methodology is extended to the case of independent multidimensional observations. The statistical inference is performed through parametric and non-parametric estimators. Inferential procedures such as confidence intervals, confidence regions and hypothesis testing are obtained by exploiting the asymptotic theory. Adapts the methodologies derived in Padoan and Stupfler (2022) doi:10.3150/21-BEJ1375, Davison et al. (2023) doi:10.1080/07350015.2022.2078332, Daouia et al. (2018) doi:10.1111/rssb.12254, Drees (2000) doi:10.1214/aoap/1019487617, Drees (2003) doi:10.3150/bj/1066223272, de Haan and Ferreira (2006) doi:10.1007/0-387-34471-3, de Haan et al. (2016) doi:10.1007/s00780-015-0287-6.
- Version0.0.4-1
- R versionR (≥ 3.5.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release04/27/2025
Documentation
Team
Simone Padoan
MaintainerShow author detailsGilles Stupfler
Show author detailsRolesAuthorFrench National Research
Show author detailsRolesfndBocconi Institute for Data Science and Analytics
Show author detailsRolesfnd
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- Imports6 packages