Neutral to the Right Processes from a Predictive Perspective: A Review and New Developments
This paper presents a Bayesian nonparametric approach to survival analysis based on arbitrarily right censored data. The first aim will be to show that the "neutral to the right"process is the natural prior to use in this context. Secondly, the properties of a particular neutral to the right process, the "beta-Stacy"process are examined. Finally, the connections between some Bayesian bootstraps and the beta-Stacy process are investigated.
|Date of creation:||Nov 1997|
|Date of revision:|
|Contact details of provider:|| Postal: A-2361 Laxenburg|
Web page: http://www.iiasa.ac.at/Publications/Catalog/PUB_ONLINE.html
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- P. Muliere & P. Secchi, 1996. "Bayesian nonparametric predictive inference and bootstrap techniques," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 48(4), pages 663-673, December.
When requesting a correction, please mention this item's handle: RePEc:wop:iasawp:ir97082. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)
If references are entirely missing, you can add them using this form.