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IPRA: Regressing Data with Independent Parameters
Bruno Apolloni, Simone Bassis
34 - 43
10.3233/978-1-60750-692-8-34
Frontiers in Artificial Intelligence and Applications
Volume 226: Neural Nets WIRN10
Abstract

Within the framework of Algorithmic Inference, we recall a linear regression analysis tool based on the identification of the joint probability distribution of the regression coefficients compatible with the sampled data and aimed at finding out the independent components of this distribution. On this distribution we implement specific Independent Component Analysis (ICA) procedures to obtain the parameter independent components giving rise to suitable confidence regions also when the noise term is far from being independent and identically Gaussian.

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