Abstract.
A-priori knowledge in form of one exact probability distribution on the parameter space is questionable. For more general forms of a-priori information so-called non-precise a-priori densities are a suitable quantitative description. This kind of a-priori information can be used in a generalized version of Bayes’ theorem.
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Acknowledgment. The work of the second author was supported by Jubiläumsfonds, Oesterreichische Nationalbank under Project Nr.9007.
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Viertl, R., Hareter, D. Generalized Bayes’ theorem for non-precise a-priori distribution. Metrika 59, 263–273 (2004). https://doi.org/10.1007/s001840300283
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DOI: https://doi.org/10.1007/s001840300283