{ "id": 4074, "date": "2020-05-20T12:06:00", "date_gmt": "2020-05-20T12:06:00", "guid": { "rendered": "https:\/\/detralytics.com\/?p=4074" }, "modified": "2026-08-21T13:31:31", "modified_gmt": "2026-08-21T13:31:31", "slug": "quelles-limites-pour-lapplication-des-algorithmes-dapprentissage-en-assurance", "status": "publish", "type": "post", "link": "https:\/\/detralytics.com\/en\/publication\/quelles-limites-pour-lapplication-des-algorithmes-dapprentissage-en-assurance\/", "title": { "rendered": "Quelles limites pour l’application des algorithmes d’apprentissage en assurance ?" }, "content": { "rendered": "
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Quelles limites pour l'application des algorithmes d'apprentissage en assurance ?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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DetraNote 2020-2<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\"Algorithmes\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tUne \u00e9tape essentielle du processus de tarification est le choix de l’algorithme qui permettra de calculer la prime \u00e0 partir de donn\u00e9es pass\u00e9es. En assurance, les mod\u00e8les pr\u00e9dictifs sont partout : il peut s’agir de calculer la prime demand\u00e9e pour couvrir les dommages caus\u00e9s \u00e0 un bien, ou encore d’un score interne de suspicion de fraude sur un sinistre. Ce papier discute des limites de l\u2019application des algorithmes pr\u00e9dictifs en assurance en revenant sur les notions de segmentation des risques et d\u2019h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Sector: <\/b>Insurance<\/p>

<\/b>Expertise: <\/b>Pricing<\/p>

Authors:<\/b> Arthur Charpentier et<\/p>

Michel Denuit<\/p>

\u00a0<\/p>

Publisher:<\/b> Detralytics<\/p>

Date:<\/b> May 2020<\/p>

Language:<\/b> French<\/p>

Pages:<\/b> 33<\/p>

Reference :<\/b> Detra Note 2020-2<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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About the authors<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Arthur Charpentier<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tPhD, Fellow of the French Institute of Actuaries, Full Professor at the D\u00e9partement de Math\u00e9matiques, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Canada, and at Universit\u00e9 de Rennes, France. He previously served as Senior Editor for the Journal of Risk and Insurance; he is now Co\u2011Editor of the European Actuarial Journal and sits on the editorial board of the ASTIN Bulletin. Additionally, he served as Director of Studies for the Data Science for Actuaries program at the French Institute of Actuaries. He teaches courses in predictive modeling, insurance and actuarial science, mathematical economics, and statistical and econometric methods.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Michel\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Michel Denuit<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Michel is a Scientific Advisor at Detralytics, as well as a professor in actuarial science at the Universit\u00e9 Catholique de Louvain. He has international experience as a visiting professor, and has promoted many projects in collaboration with the industry. At Detralytics, Michel coaches young talents, provides cutting-edge training, fosters innovation and oversees R&D projects.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\tAll Publications<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>", "protected": false }, "excerpt": { "rendered": "

The expansion of the cyber insurance market is constantly under the threat of an accumulation event that would simultaneously affect a large number of policyholders. Very few experiences exist on such catastrophes…<\/p>", "protected": false }, "author": 1, "featured_media": 1510, "comment_status": "closed", "ping_status": "closed", "sticky": false, "template": "", "format": "standard", "meta": { "footnotes": "" }, "categories": [ 133 ], "tags": [], "class_list": [ "post-4074", "post", "type-post", "status-publish", "format-standard", "has-post-thumbnail", "hentry", "category-publication" ], "yoast_head": "\nDetra Note : limites de l'application des algorithmes d'apprentissage<\/title>\n<meta name=\"description\" content=\"Ce papier discute des limites de l\u2019application des algorithmes pr\u00e9dictifs en assurance en revenant sur les notions de segmentation des risques et d\u2019h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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