Abstract
For a long time there were a lot of unsuccessful efforts directed toward the solution of many nonparametric problems with the help of the Bayes approach. This can be explained mainly by difficulties a researcher encounter, when he attempts to find a suitable prior distribution, determined on a sample space. Such a distribution in nonparametric problems is chosen in the form of a set of probability distributions on the given sample space. The first work in this field where some progress has been achieved belongs to Ferguson. Ferguson formulated the requirements which must be imposed on a prior distribution
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© 2011 Atlantis Press
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Savchuk, V., Tsokos, C.P. (2011). Nonparametric Bayes Estimation. In: Bayesian Theory and Methods with Applications. Atlantis Studies in Probability and Statistics, vol 1. Atlantis Press. https://doi.org/10.2991/978-94-91216-14-5_4
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DOI: https://doi.org/10.2991/978-94-91216-14-5_4
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Publisher Name: Atlantis Press
Print ISBN: 978-94-91216-13-8
Online ISBN: 978-94-91216-14-5
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