Listar por autoría "8b85666c-3266-4da5-85a9-fca7725e6187"
Mostrando ítems 1-3 de 3
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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 ... -
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 ... -
Spatial generalised linear mixed models based on distances
Melo, Oscar O.; Mateu, Jorge; Melo, Carlos E. Sage Publications (2016)Risk models derived from environmental data have been widely shown to be effective in delineating geographical areas of risk because they are intuitively easy to understand. We present a new method based on distances, ...