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Neutral to the Right Processes from a Predictive Perspective: A Review and New Developments

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  • P. Muliere
  • S. Walker
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    Abstract

    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.

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    File URL: http://www.iiasa.ac.at/Publications/Documents/IR-97-082.pdf
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    File URL: http://www.iiasa.ac.at/Publications/Documents/IR-97-082.ps
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    Bibliographic Info

    Paper provided by International Institute for Applied Systems Analysis in its series Working Papers with number ir97082.

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    Date of creation: Nov 1997
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    Handle: RePEc:wop:iasawp:ir97082

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    1. P. Muliere & P. Secchi, 1996. "Bayesian nonparametric predictive inference and bootstrap techniques," Annals of the Institute of Statistical Mathematics, Springer, vol. 48(4), pages 663-673, December.
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