Listar por autor "Fernández-Casal, Rubén"

Mostrando ítems 1-11 de 11

    • A computational validation for nonparametric assessment of spatial trends 

      Meilán-Vila, Andrea; Fernández-Casal, Rubén; Crujeiras-Casais, Rosa M.; Francisco-Fernández, Mario (2021)
      The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and the small-scale variation. Parametric trend ...

    • 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, ...

    • A spatial statistical approach to estimate bus stop demand using GIS-processed data 

      Montero-Lamas, Yaiza; Fernández-Casal, Rubén; Varela-García, Francisco-Alberto; Orro, Alfonso; Novales, Margarita (Elsevier, 2024)
      [Abstract:] This study integrates the fields of geography, urban transit planning, and statistical learning to develop a sophisticated methodology for predicting bus demand at the stop level. It uses a Generalized Additive ...

    • Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings 

      Eiras-Franco, Carlos; Flores, Miguel; Bolón-Canedo, Verónica; Zaragoza, Sonia; Fernández-Casal, Rubén; Naya, Salvador; Tarrío-Saavedra, Javier (2019)
      [Abstract] The aim of this work is to propose different statistical and machine learning methodologies for identifying anomalies and control the quality of energy efficiency and hygrothermal comfort in buildings. ...

    • Constructing a Control Chart Using Functional Data 

      Flores, Miguel; Naya, Salvador; Fernández-Casal, Rubén; Zaragoza, Sonia; Raña-Míguez, Paula; Tarrío-Saavedra, Javier (MDPI AG, 2020-01-02)
      [Abstract] This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies ...

    • Financialization, confidence, and sovereign debt markets: the role of Credit Default Swaps in the Southern European debt crisis 

      Massó, Matilde; Fernández-Casal, Rubén; Taboadela, Obdulia (Sage, 2022)
      [Abstract] This article analyzes the state–market nexus by examining the role played by sovereign credit default swap (CDS) derivative markets in the southern European debt crisis of 2010–2014. This nexus is conceived of ...

    • Functional extensions of Mandel's h and k statistics for outlier detection in interlaboratory studies 

      Flores, Miguel; Tarrío-Saavedra, Javier; Fernández-Casal, Rubén; Naya, Salvador (Elsevier B.V., 2018-05-15)
      [Abstract]: Functional data analysis (FDA) alternatives, based on the classical Mandel h and k statistics, are proposed to identify the laboratories that supply inconsistent results in interlaboratory studies (ILS). ILS ...

    • Métodos predictivos de aprendizaje estadístico 

      Fernández-Casal, Rubén; Costa, Julián; Oviedo de la Fuente, Manuel (2024)
      Este es un libro de análisis computacional de datos utilizando el lenguaje de programación y entorno estadístico R, escrito con el objetivo de introducir las técnicas más importantes del aprendizaje estadístico para el ...

    • 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 ...

    • Statistical Quality Control with the qcr Package 

      Flores, Miguel; Fernández-Casal, Rubén; Naya, Salvador; Tarrío-Saavedra, Javier (Technische Universitaet Wien, 2021)
      [Abstract] The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a comprehensive set of univariate and multivariate SQC tools that completes and increases the SQC techniques ...