Abstract
In this paper we are concerned with Bayesian statistical inference for a class of elliptical distributions with parameters μ and Σ. Under a noninformative prior distribution, we obtain the posterior distribution, posterior mean, and generalized maximim likelihood estimators of μ and Σ. Under the entropy loss and quadratic loss, the best Bayesian estimators of Σ are derived as well. Some applications are given. © 1999 Academic Press.
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CITATION STYLE
Fang, K. T., & Li, R. (1999). Bayesian statistical inference on elliptical matrix distributions. Journal of Multivariate Analysis, 70(1), 66–85. https://doi.org/10.1006/jmva.1998.1816
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