Visualitza INIT_Articles per autoria "20418ead-8f69-400b-95af-d25c7de8261c"

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    • closedAccess   A Distance-based Method for Spatial Prediction in the Presence of Trend 

      Melo, Carlos E.; Mateu, Jorge; Melo, Oscar O. Springer (2020-06-01)
      A new method based on distances for modeling continuous random data in Gaussian random fields is presented. In non-stationary cases in which a trend or drift is present, dealing with information in regionalized mixed ...

    • closedAccess   A distance-based model for spatial prediction using radial basis functions 

      Melo, Carlos E.; Melo, Oscar O.; Mateu, Jorge Springer Berlin Heidelberg (2018)
      In the context of local interpolators, radial basis functions (RBFs) are known to reduce the computational time by using a subset of the data for prediction purposes. In this paper, we propose a new distance-based spatial ...

    • closedAccess   Distance-based beta regression for prediction of mutual funds 

      Melo, Oscar O.; Melo, Carlos E.; Mateu, Jorge Springer (2015-01)
      In the context of regression with a beta-type response variable, we propose a new method that links two methodologies: a distance-based model, and a beta regression with variable dispersion. The proposed model is useful ...