Listar GI-MODES - Artigos por autor "Castillo-Páez, Sergio"

Mostrando ítems 1-4 de 4

    • A Nonparametric Bootstrap Method for Heteroscedastic Functional Data 

      Fernández-Casal, Rubén; Castillo-Páez, Sergio; Flores, Miguel (Springer, 2024-03)
      [Absctract]: The objective is to provide a nonparametric bootstrap method for functional data that consists of independent realizations of a continuous one-dimensional process. The process is assumed to be nonstationary, ...

    • Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency 

      Tobar, Andrés; Flores, Miguel; Castillo-Páez, Sergio; Naya, Salvador; Zaragoza, Sonia; Tarrío-Saavedra, Javier (Elsevier, 2023-11)
      [Abtract]: An automated methodology is proposed to identify anomalies in buildings’ HVAC systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule from its score distribution. ...

    • Nonparametric Conditional Risk Mapping Under Heteroscedasticity 

      Fernández-Casal, Rubén; Castillo-Páez, Sergio; Francisco-Fernández, Mario (Springer Nature, 2024-03)
      [Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ...

    • Nonparametric geostatistical risk mapping 

      Fernández-Casal, Rubén; Castillo-Páez, Sergio; Francisco-Fernández, Mario (2018)
      In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear ...