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Nonparametric Smoothing for Extremal Quantile Regression with Heavy Tailed Data

In several different fields, it is interested in analyzing the upper or lower tail quantile of the underlying distribution rather than mean or center quantile. However, the investigation of the tail quantile is somewhat difficult because of data sparsity. This paper challenges to develop the nonpar...

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Detalles Bibliográficos
Autor principal: Takuma Yoshida
Formato: Artigo
Lenguaje:Inglês
Publicado: Instituto Nacional de Estatística | Statistics Portugal 2021-07-01
Colección:Revstat Statistical Journal
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Acceso en línea:https://revstat.ine.pt/index.php/REVSTAT/article/view/346
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