Tree-based machine learning methods for modeling and forecasting mortality
Year of publication: |
2022
|
---|---|
Authors: | Bjerre, Dorethe Skovgaard |
Published in: |
ASTIN bulletin : the journal of the International Actuarial Association. - Cambridge : Cambridge Univ. Press, ISSN 1783-1350, ZDB-ID 2148228-7. - Vol. 52.2022, 3, p. 765-787
|
Subject: | gradient boosting | model confidence set | Mortality | random forests | stochastic mortality models | Sterblichkeit | Prognoseverfahren | Forecasting model | Stochastischer Prozess | Stochastic process | Modellierung | Scientific modelling |
-
Santolino, Miguel, (2023)
-
Mortality data correction in the absence of monthly fertility records
Boumezoued, Alexandre, (2021)
-
A multi-parameter-level model for simulating future mortality scenarios with COVID-alike effects
Rui, Zhou, (2022)
- More ...
-
The effect of marital status on life expectancy : Is cohabitation as protective as marriage?
Balter, Anne G., (2023)
-
Health, mortality, and retirement
Bjerre, Dorethe Skovgaard, (2023)
-
The effect of marital status on life expectancy : is cohabitation as protective as marriage?
Balter, Anne, (2023)
- More ...