Selecting Models Focussing on the Modeller’s Purpose

Jean-Patrick Baudry (), Gilles Celeux () and Jean-Michel Marin ()
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Jean-Patrick Baudry: Université Paris-Sud
Gilles Celeux: Inria Saclay
Jean-Michel Marin: Inria Saclay

A chapter in COMPSTAT 2008, 2008, pp 337-348 from Springer

Abstract: Abstract Model selection is a difficult task for which it is often profitable to take into account the modeller point of view. Hidden structure models are a good example for which this point of view can be dealt with in a simple way. In the model-based clustering context, we present model selection criteria focussing on the clustering purpose. Their rationale and theoretical features are given and their practical behavior in comparison with classical penalized likelihood criteria is discussed from numerical experiments.

Keywords: mixture model; BIC; entropy; slope heuristic (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2084-3_28

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DOI: 10.1007/978-3-7908-2084-3_28

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