Bayesian Inference in a Parametric Counting Process Model
We are in this paper concerned with Bayesian inference in a counting process model where the intensities depend on an unknown parameter. In particular, the model gives a unified approach to Bayesian inference for a large number of parametric failure time models with censoring. Asymptotic properties...
Veröffentlicht in: | Scandinavian Journal of Statistics. - Blackwell Publishers, 1974. - 13(1986), 2, Seite 87-97 |
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1. Verfasser: | |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
1986
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Zugriff auf das übergeordnete Werk: | Scandinavian Journal of Statistics |
Schlagworte: | counting processes intensities martingales Bayesian inference survival analysis life testing censoring asymptotic theory Behavioral sciences Information science mehr... |
Zusammenfassung: | We are in this paper concerned with Bayesian inference in a counting process model where the intensities depend on an unknown parameter. In particular, the model gives a unified approach to Bayesian inference for a large number of parametric failure time models with censoring. Asymptotic properties of the Bayes estimator (w.r.t. quadratic loss function) are studied. |
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ISSN: | 14679469 |