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Paper detail

Local statistical modeling by cluster-weighted

We investigate statistical properties of Cluster-Weighted Modeling, which is a framework for supervised learning originally developed in order to recreate a digital violin with traditional inputs and realistic sound. The analysis is carried out in comparison with Finite Mixtures of Regression models. Based on some geometrical arguments, we highlight that Cluster-WeightedModeling provides a quite general framework for local statistical modeling. Theoretical results are illustrated on the ground of some numerical simulations.

preprint2011arXivOpen access
Salvatore IngrassiaSimona C. MinottiGiorgio Vittadini
MethodologyComputation
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Salvatore IngrassiaSimona C. MinottiGiorgio Vittadini

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