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    Robust Bayesian Analysis, an Attempt to Improve Bayesian Sequencing

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    Author
    Weninger, Franz
    Steier, Peter
    Kutschera, Walter
    Wild, Eva Maria
    Issue Date
    2010-01-01
    
    Metadata
    Show full item record
    Citation
    Weninger, F., Steier, P., Kutschera, W., & Wild, E. M. (2010). Robust Bayesian analysis, an attempt to improve Bayesian sequencing. Radiocarbon, 52(3), 962-983.
    Publisher
    Department of Geosciences, The University of Arizona
    Journal
    Radiocarbon
    Description
    From the 20th International Radiocarbon Conference held in Kona, Hawaii, USA, May 31-June 3, 2009.
    URI
    http://hdl.handle.net/10150/654320
    DOI
    10.1017/S0033822200046075
    Additional Links
    http://radiocarbon.webhost.uits.arizona.edu/
    Abstract
    Bayesian sequencing of radiocarbon dates deals with the problem that in most cases there does not exist an unambiguous way to define the so-called prior function, which represents information in addition to the result of the 14C measurements alone. However, a random choice of a particular prior function can lead to biased results. In this paper, "robust Bayesian analysis," which uses a whole set of prior functions, is introduced as a more reliable method. The most important aspects of the mathematical foundation and of the practical realization of the method are described. As a general result, robust Bayesian analysis leads to higher accuracy, but paid for with reduced precision. Our investigations indicate that it seems possible to establish robust analysis for practical applications.
    Type
    Proceedings
    text
    Language
    en
    ISSN
    0033-8222
    ae974a485f413a2113503eed53cd6c53
    10.1017/S0033822200046075
    Scopus Count
    Collections
    Radiocarbon, Volume 52, Number 3 (2010)

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