Walker, S.G. and Hatjispyros, S.J. and Nicoleris, T. (2007) A Fleming-Viot process and Bayesian nonparametrics. The Annals of Applied Probability, 17 (1). pp. 67-80. ISSN 1050-5164 .
| PDF (Fleming-Viot Process) | ||
|
Download (180Kb)
|
![[img]](http://kar.kent.ac.uk/style/images/fileicons/application_pdf.png)
|
|
| Official URL http://dx.doi.org/10.1214/105051606000000600 |
||
Abstract
This paper provides a construction of a Fleming-Viot measure valued diffusion process, for which the transition function is known, by extending recent ideas of the Gibbs sampler based Markov processes. In particular, we concentrate on the Chapman-Kolmogorov consistency conditions which allows a simple derivation of such a Fleming-Viot process, once a key and apparently new combinatorial result for Polya-urn sequences has been established
| Item Type: | Article |
|---|---|
| Uncontrolled keywords: | Chapman-Kolmogorov; diffusion process; Dirichlet process; Polya-urn scheme; population genetics |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science |
| Depositing User: | Maureen Cook |
| Date Deposited: | 30 Jun 2008 10:49 |
| Last Modified: | 05 Sep 2011 23:33 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/3778 (The current URI for this page, for reference purposes) |
- Depositors only (login required):
