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Robust maximum likelihood estimation of latent class models

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Publication date07/2015
Host publicationProceedings of the 30th International Workshop on Statistical Modelling: Proceedings Volume 1
EditorsHerwig Friedl, Helga Wagner
Place of PublicationLinz, Austria
Publisherjohannes Kepler University, Linz
Pages94-99
Number of pages6
<mark>Original language</mark>English

Abstract

We develop a suitable reweighting approach to deal with outliers when maximum likelihood estimation is used to estimate latent class models. In such a context, the EM algorithm is used and the presence of outliers and spurious observations is common. The Proposed method is motivated by an application aimed at finding clusters of offending behaviours.