Selecting Models Focussing on the Modeller’s Purpose

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