Nonlinear nonparametric mixed-effects models for unsupervised classification

Laura Azzimonti (), Francesca Ieva () and Anna Maria Paganoni ()

Computational Statistics, 2013, vol. 28, issue 4, 1549-1570

Abstract: In this work we propose a novel EM method for the estimation of nonlinear nonparametric mixed-effects models, aimed at unsupervised classification. We perform simulation studies in order to evaluate the algorithm performance and we apply this new procedure to a real dataset. Copyright Springer-Verlag 2013

Keywords: Mixed-effects models; Nonparametric estimation; EM algorithm; Nonlinear models (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:28:y:2013:i:4:p:1549-1570

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DOI: 10.1007/s00180-012-0366-5

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