ListarModelización, Optimización e Inferencia Estadística (MODES) por tema "Functional data"

Mostrando ítems 1-4 de 4

    • A distance correlation approach for optimum multiscale selection in 3D point cloud classification 

      Oviedo de la Fuente, Manuel; Cabo, Carlos; Ordóñez, Celestino; Roca-Pardiñas, Javier (2021)
      [Abstract] Supervised classification of 3D point clouds using machine learning algorithms and handcrafted local features as covariates frequently depends on the size of the neighborhood (scale) around each point used to ...

    • Nonparametric estimation for a functional-circular regression model 

      Meilán-Vila, Andrea; Crujeiras-Casais, Rosa M.; Francisco-Fernández, Mario (Springer, 2024)
      [Abstract]: Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an Atlantic climate location, spring ...

    • Outlier Detection for Multivariate Time Series: A Functional Data Approach ® 

      López-Oriona, Ángel; Vilar, José (Elsevier, 2021)
      [Abstract] A method for detecting outlier samples in a multivariate time series dataset is proposed. It is assumed that an outlying series is characterized by having been generated from a different process than those ...

    • River flow modelling using nonparametric functional data analysis 

      Francisco-Fernández, Mario; Quintela-del-Río, Alejandro (John Wiley & Sons Ltd and The Chartered Institution of Water and Environmental Management (CIWEM), 2018)
      [Abstract]: Time series and extreme value analyses are two statistical approaches usually applied to study hydrological data. Classical techniques, such as autoregressive integrated moving-average models (in the case of ...