A Flexible Tool for Model Building: the Relevant Transformation of the Inputs Network Approach (RETINA)
A new method, called Relevant Transformation of the Inputs Network Approach is proposed as a tool for model building. It is designed around flexibility (with nonlinear transformations of the predictors of interest), selective search within the range of possible models, out-of-sample forecasting ability and computational simplicity. In tests on simulated data, it shows both a high rate of successful retrieval of the data generating process, which increases with the sample size and a good performance relative to other alternative procedures. A telephone service demand model is built to show how the procedure applies on real data. Copyright 2003 Blackwell Publishing Ltd.
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Volume (Year): 65 (2003)
Issue (Month): s1 (December)
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