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
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