The importance of selecting bayesian nonparametric survival models : application to the estimation of unemployment durations
Author
Source
International Journal of Economic Performance
Issue
Vol. 5, Issue 2 (31 Dec. 2022), pp.400-412, 13 p.
Publisher
Publication Date
2022-12-31
Country of Publication
Algeria
No. of Pages
13
Main Subjects
Medicine
Human Resource Management
Topics
Abstract EN
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.
American Psychological Association (APA)
Hamimas, Ahmad. 2022. The importance of selecting bayesian nonparametric survival models : application to the estimation of unemployment durations. International Journal of Economic Performance،Vol. 5, no. 2, pp.400-412.
https://search.emarefa.net/detail/BIM-1469564
Modern Language Association (MLA)
Hamimas, Ahmad. The importance of selecting bayesian nonparametric survival models : application to the estimation of unemployment durations. International Journal of Economic Performance Vol. 5, no. 2 (Dec. 2022), pp.400-412.
https://search.emarefa.net/detail/BIM-1469564
American Medical Association (AMA)
Hamimas, Ahmad. The importance of selecting bayesian nonparametric survival models : application to the estimation of unemployment durations. International Journal of Economic Performance. 2022. Vol. 5, no. 2, pp.400-412.
https://search.emarefa.net/detail/BIM-1469564
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 410-412
Record ID
BIM-1469564