Survival Data with Explanatory Processes: a Full Nonparametric Bayesian Analysis

J.-M. Rolin

Working Papers from Catholique de Louvain - Institut de statistique

Abstract: In this paper, a very general model of survival data with (exclusive or inclusive) right censoring, explanatory processes and a baseline predictable hazard function is considered in the ocntezt of nonparametric Bayasian analysis. particular cases are semiparametric proportional hazards and multiplicative intensity models.

Keywords: ECONOMETRICS (search for similar items in EconPapers)
JEL-codes: C00 C14 (search for similar items in EconPapers)
Pages: 65 pages
Date: 1999
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fth:louvis:9906

Access Statistics for this paper

More papers in Working Papers from Catholique de Louvain - Institut de statistique Universite Catholique de Louvain, Institut de Statistique, Voie du Roman Pays, 34 B-1348 Louvain- La-Neuve, Belgique..
Bibliographic data for series maintained by Thomas Krichel ().