Imprecise conjugate prior densities for the one-parameter exponential family of distributions
Reconsidering generalizations of the original Bayesian framework that have been suggested during the last three decades, imprecise conjugate prior densities are proposed for members of the one-parameter exponential family of distributions.
Year of publication: |
1993
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Authors: | Coolen, F. P. A. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 16.1993, 5, p. 337-342
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Publisher: |
Elsevier |
Keywords: | Bayesian theory imprecise probabilities conjugate priors one-parameter exponential family of distributions |
Saved in:
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