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  "Date": "2026-05-08",
  "Title": "Extreme Risk Measures",
  "Authors@R": "c(person(\"Simone\",\"Padoan\", role = c(\"cre\", \"aut\"), email=\"simone.padoan@unibocconi.it\"),\nperson(\"Gilles\", \"Stupfler\", role = \"aut\", email=\"gilles.stupfler@univ-angers.fr\"),\nperson(\"Carlotta\", \"Pacifici\", role = c(\"aut\"), email=\"carlotta.pacifici@unibocconi.it\"))",
  "Author": "Simone Padoan [cre, aut], Gilles Stupfler [aut], Carlotta\nPacifici [aut]",
  "Maintainer": "Simone Padoan <simone.padoan@unibocconi.it>",
  "Description": "A set of procedures for estimating risks related to\nextreme events via risk measures such as Expectile,\nValue-at-Risk, etc. is provided. Estimation methods for\nunivariate independent observations and temporal dependent\nobservations are available. The methodology is extended to the\ncase of independent multidimensional observations.  The\nstatistical inference is performed through parametric and\nnon-parametric estimators. Inferential procedures such as\nconfidence intervals, confidence regions and hypothesis testing\nare obtained by exploiting the asymptotic theory. Adapts the\nmethodologies derived in Padoan and Stupfler (2022)\n<doi:10.3150/21-BEJ1375>, Davison et al. (2023)\n<doi:10.1080/07350015.2022.2078332>, Daouia et al. (2018)\n<doi:10.1111/rssb.12254>, Drees (2000)\n<doi:10.1214/aoap/1019487617>, Drees (2003)\n<doi:10.3150/bj/1066223272>, de Haan and Ferreira (2006)\n<doi:10.1007/0-387-34471-3>, de Haan et al. (2016)\n<doi:10.1007/s00780-015-0287-6>, Padoan and Rizzelli (2024)\n<doi:10.3150/23-BEJ1668>, Daouia et al. (2024)\n<doi:10.3150/23-BEJ1632>.",
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      "title": "Estimation of the scedasis function",
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      "title": "High Expectile Estimation",
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    },
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      "title": "Extreme Level Estimation",
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