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On a family of prior distributions for a class of Bayesian search models
Published online by Cambridge University Press: 01 July 2016
Abstract
We propose a two-parameter family of conjugate prior distributions for the number of undiscovered objects in a class of Bayesian search models. The family contains the one-parameter Euler and Heine families as special cases. The two parameters may be interpreted respectively as an overall success rate and a rate of depletion of the source of objects. The new family gives enhanced flexibility in modelling.
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- Letter to the Editor
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- Copyright © Applied Probability Trust 1993
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