• 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 ...
    • Big-But-Biased Data Analytics for Air Quality 

      Borrajo, Laura; Cao, Ricardo (MDPI AG, 2020-09-22)
      [Abstract] Air pollution is one of the big concerns for smart cities. The problem of applying big data analytics to sampling bias in the context of urban air quality is studied in this paper. A nonparametric estimator ...