Analysing migrant fertility using machine learning techniques: An application of random survival forest to longitudinal data from France

Fuente: Organización Internacional del Trabajo (OIT)
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Autori principali: Isaure Delaporte, Andrew Ibbetson, Hill Kulu
Natura: Artículo científico
Pubblicazione: International Labour Organization 14/10/2025
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author Isaure Delaporte
Andrew Ibbetson
Hill Kulu
author_facet Isaure Delaporte
Andrew Ibbetson
Hill Kulu
Isaure Delaporte
Andrew Ibbetson
Hill Kulu
contents Analysing migrant fertility using machine learning techniques: An application of random survival forest to longitudinal data from France Isaure Delaporte Andrew Ibbetson Hill Kulu 10.4054/DemRes.2025.53.21 DOI https://doi.org/10.4054/DemRes.2025.53.21 publication.journalArticle
format Artículo científico
id ilo_995675523802676
institution Organización Internacional del Trabajo (OIT)
publishDate 14/10/2025
publisher International Labour Organization
spellingShingle Analysing migrant fertility using machine learning techniques: An application of random survival forest to longitudinal data from France
Isaure Delaporte
Andrew Ibbetson
Hill Kulu
Analysing migrant fertility using machine learning techniques: An application of random survival forest to longitudinal data from France Isaure Delaporte Andrew Ibbetson Hill Kulu 10.4054/DemRes.2025.53.21 DOI https://doi.org/10.4054/DemRes.2025.53.21 publication.journalArticle
title Analysing migrant fertility using machine learning techniques: An application of random survival forest to longitudinal data from France
url https://researchrepository.ilo.org/esploro/outputs/journalArticle/Analysing-migrant-fertility-using-machine-learning/995675523802676