Predicting individual-level longevity with statistical and machine learning methods
Luca Badolato, Ari Decter-Frain, Nicholas J. Irons, Maria Miranda, Erin Walk, Elnura Zhalieva, Monica Alexander, Ugofilippo Basellini, Emilio Zagheni
| Year of publication: |
[2023]
|
|---|---|
| Authors: | Badolato, Luca ; Decter-Frain, Ari ; Irons, Nicholas J. ; Miranda, Maria ; Walk, Erin ; Zhalieva, Elnura ; Alexander, Monica ; Basellini, Ugofilippo ; Zagheni, Emilio |
| Publisher: |
Rostock, Germany : Max Planck Institute for Demographic Research |
| Subject: | USA | forecasts | inequality | longevity | Sterblichkeit | Mortality | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | United States | Statistische Methode | Statistical method | Prognose | Forecast |
freely available
| Extent: | 1 Online-Ressource (circa 27 Seiten) Illustrationen |
|---|---|
| Series: | MPIDR working papers. - Rostock, ZDB-ID 2499405-4. - Vol. WP 2023, 008 (February 2023) |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Other identifiers: | 10.4054/MPIDR-WP-2023-008 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014232228