Integration Of Prior Information In Kaplan Meier Estimator Using Bayesian Approach
dc.contributor.author | Pempie, Pascal | |
dc.contributor.author | Hamimes, Ahmed | |
dc.contributor.author | Benamirouche, Rachid | |
dc.date.accessioned | 2023-03-05T10:46:54Z | |
dc.date.available | 2023-03-05T10:46:54Z | |
dc.date.issued | 2020-12-31 | |
dc.description.abstract | As part of this contribution, we will illustrate the effectiveness of the Bayesian approach in estimating durations; we suggest a new definition of the Kaplan Meier Bayesian estimator based on a stochastic approximation under an informative prior. For this reason, based on the lognormal distribution, we have unconjugated a priori distributions. This method of processing makes it possible to assume that the use of the a priori data with the various suggested methods is sensitive to the choices of the parameters added. | en_US |
dc.identifier.citation | Pempie, Pascal . Hamimes, Ahmed . Benamirouche, Rachid. Integration Of Prior Information In Kaplan Meier Estimator Using Bayesian Approach . Vol 01. N 02. 31/12/2020. University of Eloued [Write down the date][Copy the download link] | en_US |
dc.identifier.issn | 2773-2916 | |
dc.identifier.uri | https://dspace.univ-eloued.dz/handle/123456789/15305 | |
dc.language.iso | en | en_US |
dc.publisher | جامعة الوادي - University of Eloued | en_US |
dc.subject | Bayesian approach; nonparametric survival; Kaplan Meier; Bayesian estimator. | en_US |
dc.title | Integration Of Prior Information In Kaplan Meier Estimator Using Bayesian Approach | en_US |
dc.type | Article | en_US |
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