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Title of Journal: Comput Stat

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Abbravation: Computational Statistics

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Springer-Verlag

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10.1007/s11276-009-0195-9

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1613-9658

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A note on the prior parameter choice in finite mix

Authors: M J Rufo J Martín C J Pérez
Publish Date: 2010/03/07
Volume: 25, Issue: 3, Pages: 537-550
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Abstract

This work presents a new scheme to obtain the prior distribution parameters in the framework of Rufo et al Comput Stat 21621–637 2006 Firstly an analytical expression of the proposed Kullback–Leibler divergence is derived for each distribution in the considered family Therefore no previous simulation technique is needed to estimate integrals and thus the error related to this procedure is avoided Secondly a global optimization algorithm based on interval arithmetic is applied to obtain the prior parameters from the derived expression The main advantage by using this approach is that all solutions are found and rightly bounded Finally an application comparing this strategy with the previous one illustrates the proposal


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