The label switching problem in mixture models

Authors

  • Ali Etemad Department of Mathematics, Urmia University, Urmia, Iran
  • Gholamhossein Gholami Department of Statistics, University of Mazandaran, Babolsar, Iran
  • Hamideh Rasi Department of Mathematics, Tabriz University, Tabriz, Iran

Keywords:

Mixture Models, Label Switching, Identi

Abstract

Mixture models are fascinating objects in that, while based on elementary distributions, they of-fer a much wider range of modeling possibilities than their components. They also need both highlycomplex computational challenges and delicate inferential derivations . In Bayesian framework thiskind of models do not admit an analytical solution and one should content him/her self by an ap-proximative solution.In this work, we introduce denition of identiability in statistical model. We focus on denition ofidentiability of mixtures of models from Bayesian point of view. This issue is called label-switchingproblem in Bayesian literatures. We will study a method to identify the mixtures parameter by usingMCMC output.

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Published

2020-09-06

How to Cite

Etemad, A. ., Gholami, G. ., & Rasi, H. . (2020). The label switching problem in mixture models. Scientific Journal of Pure and Applied Sciences, 3(7), 617-621. Retrieved from http://sjournals.com/index.php/sjpas/article/view/824

Issue

Vol. 3 No. 7 (2014): July

Section

Mathematics

License

Copyright (c) 2014 Ali Etemad, Gholamhossein Gholami, Hamideh Rasi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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