This paper provides a new approach to longitudinal data analysis introducing the parallel neural network. Furthermore, is defined a general schema about constraints on the network parameters to deal with compositional data. Finally, we propose an algorithm to solve the identification problem of the parallel network according to the characteristics of longitudinal data

Parallel networks for compositional longitudinal data

ARIA, MASSIMO
2009

Abstract

This paper provides a new approach to longitudinal data analysis introducing the parallel neural network. Furthermore, is defined a general schema about constraints on the network parameters to deal with compositional data. Finally, we propose an algorithm to solve the identification problem of the parallel network according to the characteristics of longitudinal data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/359473
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