Uniform Mixtures Via Posterior Means
Arjun K. Gupta , Jacek Wesołowski
AbstractThe problem of identification of uniform mixtures via posterior means is studied. For linear posterior means a complete solution is given. It determines a family of prior distributions involving beta of both kinds and gamma. Identifiability via any consistent posterior mean is also investigated.
|Journal series||Annals of the Institute of Statistical Mathematics, ISSN 0020-3157, 1572-9052|
|Keywords in English||beta type distributions, Characterization of probability distribution, conditional moments, gamma distribution, Identification, linearity of regression, Mixtures, Posterior mean, Statistics for Business/Economics/Mathematical Finance/Insurance, Statistics, general, uniform conditional distribution|
|Publication indicators||= 8; = 5|
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