O traballo do grupo Modelos de Optimización, Decisión, Estatística e Aplicacións (MODESTYA) céntranse no desenvolvemento de metodoloxía estatística (estimación, contrastes, predición, optimización,...) cunha orientación aplicada aos ámbitos das ciencias da vida, do medio ambiente e da industria. Tamén proporcionamos asesoramento estatístico baixo demanda, a través do noso Servizo de Consultoría Estatística.

Servizo de Consultoría Estatística

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Recent Submissions

  • Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali 

    Ateba, François Freddy; Sagara, Issaka; Sogoba, Nafomon; Touré, Mahamoudou; Konaté, Drissa; Diawara, Sory Ibrahim; Diakité, Séidina Aboubacar Samba; Diarra, Ayouba; Coulibaly, Mamadou D.; Dolo, Mathias; Dolo, Amagana; Sacko, Aissata; Thiam, Sidibe M’baye; Sissako, Aliou; Sangaré, Lansana; Diakité, Mahamadou; Koita, Ousmane A.; Cissoko, Mady; Traore, Sékou Fantamady; Winch, Peter J.; Febrero Bande, Manuel; Shaffer, Jeffrey G.; Krogtad, Donald J.; Marker, Hannah Catherine; Doumbia, Seydou; Gaudart, Jean (MDPI, 2020)
    Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship ...
  • Predicting Malaria Transmission Dynamics in Dangassa, Mali: A Novel Approach Using Functional Generalized Additive Models 

    Ateba, François Freddy; Febrero Bande, Manuel; Sagara, Issaka; Sogoba, Nafomon; Touré, Mahamoudou; Sanogo, Daouda; Diarra, Ayouba; Ngitah, Andoh Magdalene; Winch, Peter J.; Shaffer, Jeffrey G.; Krogstad, Donald J.; Marker, Hannah C.; Gaudart, Jean; Doumbia, Seydou (MDPI, 2020)
    Mali aims to reach the pre-elimination stage of malaria by the next decade. This study used functional regression models to predict the incidence of malaria as a function of past meteorological patterns to better prevent ...
  • Semiparametric prediction models for variables related with energy production 

    González Manteiga, Wenceslao; Febrero Bande, Manuel; Piñeiro Lamas, María (SpringerOpen, 2018)
    In this paper a review of semiparametric models developed throughout the years thanks to an extensive collaboration between the Department of Statistics and Operations Research of the University of Santiago de Compostela ...
  • Sparse matrix classification on imbalanced datasets using convolutional neural networks 

    Pichel Campos, Juan Carlos; Pateiro López, Beatriz (IEEE, 2019)
    This paper deals with the class imbalance problem in the context of the automatic selection of the best storage format for a sparse matrix with the aim of maximizing the performance of the sparse matrix vector multiplication ...
  • A reliable method for estimating the postmortem interval from the biochemistry of the vitreous humor, temperature and body weight 

    Cordeiro, Cristina; Ordóñez Mayán, Lucía; Lendoiro Belío, Elena; Febrero Bande, Manuel; Vieira, Duarte Nuno; Muñoz Barús, José Ignacio (Elsevier, 2019)
    The estimation of the time elapsed since death is of paramount importance in the field of forensic sciences and criminal investigation, owing, among other factors, to the possible legal repercussions. Over the past few ...

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