Neural Network Model: Applications and Implications
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Neural Network Model: Applications and Implications
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Conditional density function for surrogate scalar response
Boumahdi M., Idir Ouassou I.O., Rachdi M.
his paper presents the estimator of the conditional density function of surrogated
scalar response variable given a functional random one. We construct a conditional
density function by using the available (true) response data and the surrogate data.
Then, we build up some asymptotic properties of the constructed estimator in terms of
the almost complete convergences. As a result, we compare our estimator with the
classical estimator through the Relatif Mean Square Errors (RMSE). Finally, we end this
analysis by displaying the superiority of our estimator in terms of prediction when we
are lacking complete data.