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machine learning
2
random forest
2
BIS capital adequacy ratio
1
Bayesian Regulatory Neural Network
1
Bayesian regulatory neural network
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Machine learning
1
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1
Random Forest algorithms
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bank
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data-driven binning
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life insurance companies
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random forest algorithms
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Park, Jaewon
2
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2
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1
Levantesi, Susanna
1
Piscopo, Gabriella
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Risks
Journal of Risk and Financial Management
10
Journal of risk and financial management : JRFM
10
Risks : open access journal
10
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8
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6
International journal of forecasting
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Mu̐helytanulmányok / Magyar Tudományos Akadémia, Közgazdaságtudományi Intézet
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Socio-economic planning sciences : the international journal of public sector decision-making
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1
An approach for variable selection and prediction model for estimating the Risk-Based Capital (RBC) based on machine learning algorithms
Park, Jaewon
;
Shin, Minsoo
- In:
Risks
10
(
2022
)
1
,
pp. 1-20
techniques:
Random
Forest
algorithms and the Bayesian Regulatory Neural Network (BRNN). The combination of
Random
Forest
…
Persistent link: https://www.econbiz.de/10013200904
Saved in:
2
Estimating the BIS capital adequacy ratio for Korean banks using machine learning: Predicting by variable selection using
random
forest
algorithms
Park, Jaewon
;
Shin, Minsoo
;
Heo, Wookjae
- In:
Risks
9
(
2021
)
2
,
pp. 1-19
,
Random
Forest
Boruta algorithms,
Random
Forest
Recursive Feature Elimination, and Bayesian Regularization Neural Networks …
Persistent link: https://www.econbiz.de/10013200701
Saved in:
3
Assessing the performance of random forests for modeling claim severity in collision car insurance
Staudt, Yves
;
Wagner, Joël
- In:
Risks
9
(
2021
)
3
,
pp. 1-28
way. In the second step, we tune two
random
forest
models, one for the claim severity and one for the log …
Persistent link: https://www.econbiz.de/10013200722
Saved in:
4
The importance of economic variables on London real estate market: A
random
forest
approach
Levantesi, Susanna
;
Piscopo, Gabriella
- In:
Risks
8
(
2020
)
4
,
pp. 1-17
apply the
random
forest
algorithm on London real estate data and analyze the local variables that influence the interaction …
Persistent link: https://www.econbiz.de/10013200645
Saved in:
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