The importance of selecting Bayesian nonparametric survival models: application to the estimation of unemployment durations

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Ahmed HAMIMES
https://orcid.org/0000-0001-9576-7148

Abstract

The Kaplan-Meier and Fleming-Harrington estimator in the frequentist approach are functional methods. We compare in this article the different Bayesian structures of the Kaplan-Meier and Fleming-Harrington estimators through the information deviance criterion in a real example describes the duration of unemployment of 1064 individuals in an employment agency. employment at the local employment agency in Ain El Benian. This study clearly shows the importance of bayesian model selection in duration models.

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How to Cite
HAMIMES, A. (2023). The importance of selecting Bayesian nonparametric survival models: application to the estimation of unemployment durations. IJEP, 5(2), 400–412. Retrieved from https://ijep.dz/index.php/IJEP/article/view/80
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