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Mostrando ítems 21-40 de 54

    • Expresión gráfica 

      Blas; David; Francisco; Jesús; José; María Luisa; Silvia; Tamar (03/09/2018)

    • Forecasting functional time series with a new Hilbertian ARMAX model: application to electricity price forecasting 

      Portela González, José; Muñoz San Roque, Antonio; Alonso Pérez, Estrella
      Functional time series are the realization of stochastic processes where each observation is a continuous function defined on a finite interval. Forecasting these high dimensional time series requires models that operate ...

    • Forecasting residual demand time series in electricity markets: a functional approach 

      Portela González, José; Muñoz San Roque, Antonio; Alonso Pérez, Estrella (European Regional Section of the IASC (Ginebra, Suiza), 19/08/2014)
      A new forecasting method for functional time series is proposed. The new model has been tested with the residual demand curves of the Spanish day-ahead electricity market and compared with other functional reference models. ...

    • Functional regression for estimating probability density functions: an application to electricity price forecasting 

      Portela González, José; Bello Morales, Antonio (ERCIM Working Group on Computational and Methodological Statistics; Universitá di Pisa (Pisa, Italia), 14/12/2018)
      Probabilistic forecasting of electricity prices in the medium term is highly important for operational scheduling, fuel purchasing, trading and profit management. In this context, fundamental models are frequently used, ...

    • Functional time series forecasting in electricity markets : a novel parametric approach 

      Portela González, José (2017)
      Esta tesis aborda el problema de la predicción de series temporales funcionales proponiendo un modelo que extiende la metodología clásica ARIMA al marco funcional. Una serie temporal funcional (STF) es una secuencia ...

    • 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 ...

    • Fundamentos matemáticos del análisis de datos 

      Cano Casanova, Santiago; Muñoz San Roque, Antonio; Portela González, José; San Segundo Barahona, Fernando; Sanchez Rebollo, Cristina (31/08/2019)

    • Fundamentos Matemáticos del Análisis de Datos +OC 

      Cano Casanova, Santiago; Muñoz San Roque, Antonio; Portela González, José; San Segundo Barahona, Fernando; Sánchez Rebollo, Cristina (02/09/2019)

    • Gestión de Carteras e Inversiones / Portfolio Management and Investments 

      Alfredo; Ignacio; Ignacio; José (29/08/2018)

    • Hilbertian ARMA model for forecasting functional time series 

      Portela González, José; Muñoz San Roque, Antonio; Alonso Pérez, Estrella (ERCIM Working Group on Computational and Methodological Statistics; Universidad de Sevilla; Queen Ma (Londres, Reino Unido), 12/12/2015)
      A new forecasting method for functional time series is proposed. This model attempts to generalize the standard scalar ARMA time series model to the $L^2$ Hilbert space in order to forecast functional time series. A ...

    • Instalaciones industriales 

      Gerardo; Jorge; José; Luis Manuel; María Teresa (30/08/2018)

    • Machine learning 

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

    • Machine learning 

      López López, Álvaro Jesús; Muñoz San Roque, Antonio; Portela González, José (19/12/2018)

    • Machine Learning +OC 

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

    • Machine Learning I 

      Gahete Díaz, José Luis; Muñoz San Roque, Antonio; Pizarroso Gonzalo, Jaime; Portela González, José (14/07/2021)

    • Machine Learning I 

      Gahete Díaz, José Luis; Muñoz San Roque, Antonio; Pizarroso Gonzalo, Jaime; Portela González, José (31/08/2022)

    • Machine Learning I 

      Gahete Díaz, José Luis; Muñoz San Roque, Antonio; Pizarroso Gonzalo, Jaime; Portela González, José (14/07/2023)

    • Matemáticas Empresariales II 

      Ana; Cristina; José; Manuel Alejandro; María Gloria; María Jesús; Mirco (01/09/2018)

    • Matemáticas Empresariales II 

      Betancourt Odio, Manuel Alejandro; Giménez Abad, María Jesús; Lozano Colomer, Cristina; Martín Antón, María Gloria; Portela González, José; Soffritti, Mirco; Zapatero González, Ana (27/08/2019)