New statistical model for misreported data with application to current public health challenges

Abstract The main goal of this work is to present a new model able to deal with potentially misreported continuous time series. The proposed model is able to handle the autocorrelation structure in continuous time series data, which might be partially or totally underreported or overreported. Its pe...

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Autores principales: David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña, Pedro Puig
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/c4cf1cc2b6c6404d96e8b7425cc30bb9
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