Mariano J. J. Rivera-Meraz

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This paper introduces copula functions and the use of the Gaussian copula function to model probabilistic dependencies in supervised classification tasks. A copula is a distribution function with the implicit capacity to model non linear dependencies via concordance measures , such as Kendall's τ. Hence, this work studies the performance of a simple(More)
This chapter introduces copula functions and the use of the Gaussian copula function to model probabilistic dependencies in supervised classification tasks. A copula is a distribution function with the implicit capacity to model non linear dependencies via concordance measures , such as Kendall's τ. Hence, this chapter studies the performance of a simple(More)
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