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.
Nonlinear nonparametric mixed-effects models for unsupervised classification / L. Azzimonti, F. Ieva, A. Maria Paganoni. - In: COMPUTATIONAL STATISTICS. - ISSN 0943-4062. - 28:4(2013 Aug), pp. 1549-1570. [10.1007/s00180-012-0366-5]
Nonlinear nonparametric mixed-effects models for unsupervised classification
F. IevaSecondo
;
2013
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.
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