Bassetti, Federico,
Crimaldi, Irene,
Leisen, Fabrizio
(2010)
*
Conditionally identically distributed species sampling sequences.
*
Advances in Applied Probability,
42
(2).
pp. 433-459.
ISSN 0001-8678.
(doi:10.1239/aap/1275055237)
(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:36529)

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. | |

Official URL http://dx.doi.org/10.1239/aap/1275055237 |

## Abstract

In this paper the theory of species sampling sequences is linked to the theory of conditionally identically distributed sequences in order to enlarge the set of species sampling sequences which are mathematically tractable. The conditional identity in distribution (see Berti, Pratelli and Rigo (2004)) is a new type of dependence for random variables, which generalizes the well-known notion of exchangeability. In this paper a class of random sequences, called generalized species sampling sequences, is defined and a condition to have conditional identity in distribution is given. Moreover, two types of generalized species sampling sequence that are conditionally identically distributed are introduced and studied: the generalized Poisson-Dirichlet sequence and the generalized Ottawa sequence. Some examples are discussed.

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

DOI/Identification number: | 10.1239/aap/1275055237 |

Subjects: | Q Science > QA Mathematics (inc Computing science) > QA273 Probabilities |

Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |

Depositing User: | Fabrizio Leisen |

Date Deposited: | 07 Jun 2014 09:33 UTC |

Last Modified: | 16 Nov 2021 10:13 UTC |

Resource URI: | https://kar.kent.ac.uk/id/eprint/36529 (The current URI for this page, for reference purposes) |

Leisen, Fabrizio: | https://orcid.org/0000-0002-2460-6176 |

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