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IJON
2011

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Asymptotic properties of mixture-of-experts models

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Asymptotic properties of mixture-of-experts models

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The statistical properties of the likelihood ratio test statistic (LRTS) for mixture-of-expert models are addressed in this paper. This question is essential when estimating the number of experts in the model. Our purpose is to extend the existing results for mixtures (Liu and Shao, 2003) and mixtures of multilayer perceptrons (Olteanu and Rynkiewicz, 2008). In this paper we study a simple example which embodies all the diﬃculties arising in such models. We ﬁnd that in some cases the LRTS diverges but, with additional assumptions, the behavior of such models can be totally explicated.

Madalina Olteanu, Joseph Rynkiewicz

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IJON 2011 | Likelihood Ratio Test | Mixture-of-expert Models | Multilayer Perceptrons |

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Added	14 May 2011
Updated	14 May 2011
Type	Journal
Year	2011
Where	IJON
Authors	Madalina Olteanu, Joseph Rynkiewicz

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