• Using robust FPCA to identify outliers in functional time series, with applications to the electricity market 

      Vilar, Juan M.; Raña, Paula; Aneiros Pérez, Germán (Institut d'Estadistica de Catalunya, 2016)
      [Abstract]: This study proposes two methods for detecting outliers in functional time series. Both methods take dependence in the data into account and are based on robust functional principal component analysis. One method ...
    • Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain 

      Trigo-Tasende, Noelia; Vallejo, Juan Andrés; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; Vaamonde, Manuel; López-Oriona, Ángel; Barbeito, Inés; Nasser-Ali, Mohammed; Reif López, Rubén; Rodiño-Janeiro, Bruno Kotska; Fernández-Álvarez, Elisa; Iglesias Corrás, Iago; Tarrío-Saavedra, Javier; Tomás, Laura; Gallego-García, Pilar; Posada, David; Bou, Germán; López-de-Ullibarri, Ignacio; Cao, Ricardo; Susana, Ladra; Poza, Margarita (Springer, 2023-07)
      [Abstract]: Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running ...
    • Weighted Local Nonparametric Regression with Dependent Errors: Study of Real Private Residential Fixed Investment in the USA 

      Francisco-Fernández, Mario; Vilar, Juan M. (Kluwer Academic Publishers, 2004)
      This paper presents an overview of the existing literature on the nonparametric local polynomial (LPR) estimator of the regression function and its derivatives when the observations are dependent. When the errors of the ...