An approach for variable selection and prediction model for estimating the Risk-Based Capital (RBC) based on machine learning algorithms
Year of publication: |
2022
|
---|---|
Authors: | Park, Jaewon ; Shin, Minsoo |
Published in: |
Risks : open access journal. - Basel : MDPI, ISSN 2227-9091, ZDB-ID 2704357-5. - Vol. 10.2022, 1, Art.-No. 13, p. 1-20
|
Subject: | life insurance companies | Bayesian Regulatory Neural Network | Random Forest algorithms | RBC ratio | corporate sustainable management | Machine learning | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Lebensversicherung | Life insurance | Theorie | Theory | Bayes-Statistik | Bayesian inference |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/risks10010013 [DOI] hdl:10419/258324 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Park, Jaewon, (2021)
-
Park, Jaewon, (2022)
-
Neural nets for indirect inference
Creel, Michael D., (2016)
- More ...
-
Park, Jaewon, (2021)
-
Park, Jaewon, (2022)
-
Park, Jaewon, (2021)
- More ...