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Resumen de New statistical model for misreported data

David Moriña Soler Árbol académico, Amanda Fernández Fontelo, Alejandra Cabaña Árbol académico, Pere Puig Casado Árbol académico

  • 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 misreported. Its performance is illustrated through a real data application on COVID-19 disease in a chinese province, and a comprehensive simulation study is also discussed.

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