Publications
Robust Bayesian analysis, an attempt to improve Bayesian sequencing
- Author(s)
- Franz Weninger, Peter Steier, Walter Kutschera, Eva Maria Wild
- 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 radiocarbon 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 a higher accuracy, but paid for with reduced precision. Our investigations indicate that it seems possible to establish robust analysis for practical applications.
- Organisation(s)
- Isotope Physics
- Journal
- Radiocarbon
- Volume
- 52
- Pages
- 962-983
- No. of pages
- 22
- ISSN
- 0033-8222
- Publication date
- 2010
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 1030 Physics, Astronomy, 107001 Archaeometry
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/73e017fa-511b-49c5-a303-2ed0dafbe197