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Maximum entropy characterizations of the multivariate Liouville distributions

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  • Bhattacharya, Bhaskar
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    Abstract

    A random vector X=(X1,X2,...,Xn) with positive components has a Liouville distribution with parameter [theta]=([theta]1,[theta]2,...,[theta]n) if its joint probability density function is proportional to , [theta]i>0 [R.D. Gupta, D.S.P. Richards, Multivariate Liouville distributions, J. Multivariate Anal. 23 (1987) 233-256]. Examples include correlated gamma variables, Dirichlet and inverted Dirichlet distributions. We derive appropriate constraints which establish the maximum entropy characterization of the Liouville distributions among all multivariate distributions. Matrix analogs of the Liouville distributions are considered. Some interesting results related to I-projection from a Liouville distribution are presented.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Multivariate Analysis.

    Volume (Year): 97 (2006)
    Issue (Month): 6 (July)
    Pages: 1272-1283

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    Handle: RePEc:eee:jmvana:v:97:y:2006:i:6:p:1272-1283

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    Keywords: Dirichlet distribution Gamma variables I-projections Inverted Dirichlet distribution Maximum entropy principle Shannon entropy;

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    1. Karlin, Samuel & Rinott, Yosef, 1980. "Classes of orderings of measures and related correlation inequalities. I. Multivariate totally positive distributions," Journal of Multivariate Analysis, Elsevier, vol. 10(4), pages 467-498, December.
    2. Silviu Guiasu, 1990. "A classification of the main probability distributions by minimizing the weighted logarithmic measure of deviation," Annals of the Institute of Statistical Mathematics, Springer, vol. 42(2), pages 269-279, June.
    3. Zografos, K. & Nadarajah, S., 2005. "Expressions for Rényi and Shannon entropies for multivariate distributions," Statistics & Probability Letters, Elsevier, vol. 71(1), pages 71-84, January.
    4. Gokhale, D. V., 1983. "On entropy-based goodness-of-fit tests," Computational Statistics & Data Analysis, Elsevier, vol. 1(1), pages 157-165, March.
    5. Peddada, Shyamal Das & Richards, Donald St. P., 1991. "Entropy inequalities for some multivariate distributions," Journal of Multivariate Analysis, Elsevier, vol. 39(1), pages 202-208, October.
    6. Gupta, Rameshwar D. & Richards, Donald St.P., 1987. "Multivariate Liouville distributions," Journal of Multivariate Analysis, Elsevier, vol. 23(2), pages 233-256, December.
    7. Zografos, K., 1999. "On Maximum Entropy Characterization of Pearson's Type II and VII Multivariate Distributions," Journal of Multivariate Analysis, Elsevier, vol. 71(1), pages 67-75, October.
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