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    • 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 ...