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Professor´s Information


Personal Data
Name   Vilar Fernández, Jose Antonio
Knowledge area   Estadística e investigación operativa
Faculty position   Catedrático de Universidad
Dedication   Total
E-mail   jose.vilarf@udc.es
Personal website   http://dm.udc.es/staff/jose_vilar
Research group   MODES

Location
Center Campus Phone Extension

Teaching
Degree(s) Course(s)
Grado en Biología Estadística
Grado en Biología Análisis de Datos en Biología
Máster en Técnicas Estadísticas Diseño y análisis de experimentos
Grado en Ingeniería Informática Estadística

Last published papers
  • Ángel López-Oriona, José A. Vilar, Pierpaolo D’Urso.
    Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences.
    Information Sciences, 624 (2023) , 467-492.

  • Ángel López-Oriona, José A. Vilar.
    The bootstrap for testing the equality of two multivariate time series with an application to financial markets.
    Information Sciences, 616 (2022) , 255-275.

  • Ángel López-Oriona, Pierpaolo D'Urso, José A. Vilar, Borja Lafuente-Rego.
    Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques.
    International Journal of Approximate Reasoning, 150 (2022) , 55-82.

  • Ángel López-Oriona, Pierpaolo D'Urso, José A. Vilar, Borja Lafuente-Rego.
    Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic.
    IEEE Transactions on Fuzzy Systems, 30 (2022) , 9 , 3990 - 4004.

  • Ángel López-Oriona, José A. Vilar, Pierpaolo D'Urso, .
    Quantile-based fuzzy clustering of multivariate time series in the frequency domain.
    Fuzzy Sets and Systems, 443 (2022) , B , 115-154.

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