Neural network modeling by subsampling

Authors:
Michele La Rocca;Cira Perna
Affiliations:
Dept. of Economics and Statistics, University of Salerno, Fisciano, SA, Italy;Dept. of Economics and Statistics, University of Salerno, Fisciano, SA, Italy
Venue:
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Year:
2005

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Abstract

The aim of the paper is to develop hypothesis testing procedures both for variable selection and model adequacy to facilitate a model selection strategy for neural networks. The approach, based on statical inference tools, uses the subsampling to overcome the analytical and probabilistic difficulties related to the estimation of the sampling distribution of the test statistics involved. Some illustrative examples are also discussed.