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Détection d'anomalies dans des données fonctionnelles multivariées

Abstract : This work aims to detect anomalies in multivariate functional data coming from measuring devices. Statistical methods such as functional clustering and piecewise linear estimation were tested. We show the interest of these methods as well as their lackness.
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https://hal.archives-ouvertes.fr/hal-02987148
Contributor : Messan Martial AMOVIN-ASSAGBA Connect in order to contact the contributor
Submitted on : Tuesday, November 3, 2020 - 3:50:25 PM
Last modification on : Friday, April 15, 2022 - 3:00:04 PM
Long-term archiving on: : Thursday, February 4, 2021 - 6:43:34 PM

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Martial Amovin-Assagba, Julien Jacques, Irène Gannaz, Frédéric Fossi, Johann Mozul. Détection d'anomalies dans des données fonctionnelles multivariées. 52èmes Journées de Statistiques de la Société Française de Statistique (SFdS), May 2020, Nice, France. ⟨hal-02987148⟩

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