Fernandez, Carmen,
Osiewalski, Jacek,
Steel, Mark F.J.
(2001)
*
Robust Bayesian inference on scale parameters.
*
Journal of Multivariate Analysis,
77
(1).
pp. 54-72.
ISSN 0047-259X.
(doi:10.1006/jmva.2000.1933)
(The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
(KAR id:7929)

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Official URL http://dx.doi.org/10.1006/jmva.2000.1933 |

## Abstract

We represent random vectors Z that take values in R-n - {0} as Z = RY where R is a positive random variable and Y takes values in an (n - 1)-dimensional space Y. By fixing the distribution of either R or Y while imposing independence between them, different classes of distributions on R-n can be generated. As examples. the spherical. I-q-spherical, b-spherical and anisotropic classes can be interpreted in this unifying framework, We present a robust Bayesian analysis on a scale parameter in the purr scale model and in the regression model. In particular, we consider robustness of posterior inference on the scale parameter when the sampling distribution ranges over classes related to those mentioned above. Some links between Bayesian and sampling-theory results are also highlighted. (C) 2001 Academic Press.

Item Type: | Article |
---|---|

DOI/Identification number: | 10.1006/jmva.2000.1933 |

Subjects: | Q Science > QA Mathematics (inc Computing science) |

Divisions: | Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics |

Depositing User: | Judith Broom |

Date Deposited: | 09 Oct 2008 13:51 UTC |

Last Modified: | 28 May 2019 13:43 UTC |

Resource URI: | https://kar.kent.ac.uk/id/eprint/7929 (The current URI for this page, for reference purposes) |

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