DocumentCode :
1891552
Title :
Composite likelihood estimation for multivariate mixed poisson distributions
Author :
Chatelain, Florent ; Tourneret, Jean-Yves
Author_Institution :
IRIT/ENSEEIHT/TeSA, Toulouse
fYear :
2005
fDate :
17-20 July 2005
Firstpage :
49
Lastpage :
54
Abstract :
This paper addresses the problem of estimating the parameters of multivariate mixed Poisson distributions. The classical maximum likelihood approach cannot be used for such distributions since they cannot be expressed in simple closed-form. This paper studies an estimation strategy based on the maximization of a so-called composite likelihood criterion. This strategy is compared to a more classical estimator based on the method of moments
Keywords :
Poisson distribution; image processing; method of moments; parameter estimation; composite likelihood criterion; estimation strategy; maximization; method of moment; multivariate mixed Poisson distribution; parameter estimation; Astronomy; Cameras; Image processing; Layout; Maximum likelihood estimation; Moment methods; Parameter estimation; Polynomials; Probability density function; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
Type :
conf
DOI :
10.1109/SSP.2005.1628562
Filename :
1628562
Link To Document :
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