A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models
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DOI: 10.1177/0013164420970614
Abstract: Simulation studies involving mixture models inevitably aggregate parameter estimates and other output across numerous replications. A primary issue that arises in these methodological investigations is label switching. The current study compares several label switching corrections… read more here.
Keywords: class; growth mixture; label switching; mixture ... See more keywords
Fitting Non-Parametric Mixture of Regressions: Introducing an EM-Type Algorithm to Address the Label-Switching Problem
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14051058
Abstract: The non-parametric Gaussian mixture of regressions (NPGMRs) model serves as a flexible approach for the determination of latent heterogeneous regression relationships. This model assumes that the component means, variances and mixing proportions are smooth unknown… read more here.
Keywords: mixture regressions; regression; label switching; non parametric ... See more keywords