Home > Research > Publications & Outputs > Robust maximum likelihood estimation of latent ...

Electronic data

  • robustLCA

    Accepted author manuscript, 6.04 MB, PDF document

View graph of relations

Robust maximum likelihood estimation of latent class models

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
Close
NullPointerException

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.