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    • Exploiting graphlet decomposition to explain the structure of complex networks: the GHuST framework 

      Espejo González, Rafael; Mestre Marcos, Guillermo; Postigo Marcos, Fernando Emilio; Lumbreras Sancho, Sara; Ramos Galán, Andrés; Huang, Tao; Bompard, Ettore
      The characterization of topology is crucial in understanding network evolution and behavior. This paper presents an innovative approach, the GHuST framework (Global connectivity, HUbs, Strings and Triangles), to describe ...

    • Functional time series identification and diagnosis by means of autocorrelation analysis 

      Mestre Marcos, Guillermo; Portela González, José; Rice, Gregory; Muñoz San Roque, Antonio; Alonso Pérez, Estrella
      Quantifying the serial correlation across lags is a crucial step in the identification and diagnosis of a model for scalar time series, where the autocorrelation and partial autocorrelation functions of the time series are ...

    • Functional time series identification and diagnosis by means of autocorrelation analysis 

      Mestre Marcos, Guillermo; Portela González, José; Rice, Gregory; Muñoz San Roque, Antonio; Alonso Pérez, Estrella (Sociedad de Estadística e Investigación Operativa; Universitat Politècnica de València (Alcoy, España), 03/09/2019)
      Quantifying the serial correlation across lags is a crucial step in the identification and diagnosis of a model for scalar time series, where the autocorrelation and partial autocorrelation functions of the time series are ...

    • Machine learning 

      Mestre Marcos, Guillermo; Muñoz San Roque, Antonio; Portela González, José (10/01/2018)

    • Machine Learning 

      Boal Martín-Larrauri, Jaime; Mestre Marcos, Guillermo; Muñoz San Roque, Antonio; Wogrin, Sonja (14/12/2020)

    • Machine Learning +OC 

      Boal Martín-Larrauri, Jaime; López López, Álvaro Jesús; Mestre Marcos, Guillermo; Muñoz San Roque, Antonio; Portela González, José (03/09/2019)

    • Probabilistic Forecasting of Functional Time Series : Application to Scenario-Generation of Residual Demand Curves in Electricity Markets 

      Mestre Marcos, Guillermo (2021)
      En las últimas dos décadas el registro y análisis de datos de alta frecuencia ha cobrado una gran importancia dentro del ámbito de la Estadística. Muchas de estas observaciones provienen de procesos continuos que pueden ...

    • White noise testing for functional time series. Application to model identification and diagnosis 

      Mestre Marcos, Guillermo; Portela González, José; Muñoz San Roque, Antonio; Alonso Pérez, Estrella (Computationally-intensive methods for the robust analysis of non-standard data (Iasi, Rumania), 31/08/2018)
      White noise characterization is a crucial step in the identification and diagnosis of a model for scalar time series, where the autocorrelation and partial autocorrelation functions of the time series are the most common ...