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

Autor: Ahmed HAMIMES
Jazyk: Arabic<br />English<br />French
Rok vydání: 2023
Předmět:
Zdroj: المجلة الدولية للأداء الاقتصادي, Vol 5, Iss 2 (2023)
Druh dokumentu: article
ISSN: 2661-7161
2716-9073
Popis: 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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