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  "Title": "Multivariate Peaks-over-Threshold Modelling for Spatial Extreme\nEvents",
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  "Authors@R": "c(person(given=\"Raphael\", family=\"de Fondeville\", role = \"aut\", comment = c(ORCID = \"0000-0002-9439-6872\")),\nperson(given=\"Leo\", family=\"Belzile\", role = c(\"aut\", \"cre\"), email = \"belzilel@gmail.com\", comment = c(ORCID = \"0000-0002-9135-014X\")),\nperson(given=\"Emeric\", family=\"Thibaud\", role = \"ctb\", comment = c(ORCID = \"0000-0002-1899-3990\")))",
  "Description": "Tools for high-dimensional peaks-over-threshold inference\nand simulation of Brown-Resnick and extremal Student spatial\nextremal processes. These include optimization routines based\non censored likelihood and gradient scoring, and exact\nsimulation algorithms for max-stable and multivariate Pareto\ndistributions based on rejection sampling. Fast multivariate\nGaussian and Student distribution functions using\nseparation-of-variable algorithm with quasi Monte Carlo\nintegration are also provided. Key references include de\nFondeville and Davison (2018) <doi:10.1093/biomet/asy026>,\nThibaud and Opitz (2015) <doi:10.1093/biomet/asv045>, Wadsworth\nand Tawn (2014) <doi:10.1093/biomet/ast042> and Genz and Bretz\n(2009) <doi:10.1007/978-3-642-01689-9>.",
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  "Date/Publication": "2025-04-11 22:35:51 UTC",
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        "mvPot"
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        "censoredLikelihoodBR"
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      "title": "Generating vectors for lattice rules",
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