Listar GI-MODES - Artigos por autor "Barreiro-Ures, Daniel"

Mostrando ítems 1-3 de 3

    • Analysis of interval‐grouped data in weed science: The binnednp Rcpp package 

      Barreiro-Ures, Daniel; Francisco-Fernández, Mario; Cao, Ricardo; Fraguela, Basilio B.; Doallo, Ramón; González-Andújar, José Luis; Reyes, Miguel (John Wiley & Sons Ltd., 2019-09-13)
      [Abstract] Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). ...

    • Bagging cross-validated bandwidths with application to big data 

      Barreiro-Ures, Daniel; Cao, Ricardo; Francisco-Fernández, Mario; Hart, Jeffrey D. (2021)
      Hall & Robinson (2009) proposed and analysed the use of bagged cross-validation to choose the band-width of a kernel density estimator. They established that bagging greatly reduces the noise inherent in ordinary ...

    • Kernel distribution estimation for grouped data 

      Reyes, Miguel; Francisco-Fernández, Mario; Cao, Ricardo; Barreiro-Ures, Daniel (Institut d'Estadística de Catalunya, 2019)
      [Abstract]: Interval-grouped data appear when the observations are not obtained in continuous time, but monitored in periodical time instants. In this framework, a nonparametric kernel distribution esti- mator is proposed ...