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  • Search: subject:"Ensemble method"
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Year of publication
Subject
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Artificial intelligence 2 Ensemble method 2 Forecasting model 2 Künstliche Intelligenz 2 Prognoseverfahren 2 Solvency II 2 ensemble method 2 least-squares Monte Carlo method 2 life insurance 2 machine learning 2 neural networks 2 proxy modeling 2 Abstimmungsregel 1 Bond market 1 Breast cancer classification 1 Breast cancer dataset 1 Cancer 1 Causal inference 1 Causality analysis 1 China 1 China bond market 1 Class imbalance 1 Classification 1 Cover rule 1 Credit risk 1 Data Mining 1 Data mining 1 Default predictions 1 Hare 1 Incomplete preferences 1 Induktive Statistik 1 Insolvency 1 Insolvenz 1 Kausalanalyse 1 Klassifikation 1 Kleinste-Quadrate-Methode 1 Krebskrankheit 1 Kreditrisiko 1 Least squares method 1 Lebensversicherung 1
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Online availability
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Free 5 CC license 2
Type of publication
All
Article 4 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 5
Author
All
Korn, Ralf 2 Krah, Anne-Sophie 2 Nikolić, Zoran 2 Goyal, Divyam 1 Hu, Hanwen 1 Kaivanto, Kim 1 Mohana, Rajni 1 Peng, Mike W. 1 Sharma, Aman 1 Stern, Elisheva R. 1
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Published in...
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Decision analytics journal 1 Economic modelling 1 Economics working paper series 1 Risks 1 Risks : open access journal 1
Source
All
ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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Forecasting China bond default with severe class-imbalanced data : a simple learning model with causal inference
Peng, Mike W.; Stern, Elisheva R.; Hu, Hanwen - In: Economic modelling 144 (2025), pp. 1-16
Persistent link: https://www.econbiz.de/10015195157
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An ensemble learning-based framework for breast cancer prediction
Sharma, Aman; Goyal, Divyam; Mohana, Rajni - In: Decision analytics journal 10 (2024), pp. 1-15
Breast cancer is a disease characterised by abnormal cell growth in the breast, with various types and unique characteristics depending on the malignant cells involved. It predominantly affects women, and researchers in the field of clinical sciences are increasingly interested in leveraging...
Persistent link: https://www.econbiz.de/10014543779
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Least-Squares Monte Carlo for proxy modeling in life insurance: Neural networks
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks 8 (2020) 4, pp. 1-21
The least-squares Monte Carlo method has proved to be a suitable approximation technique for the calculation of a life insurer's solvency capital requirements. We suggest to enhance it by the use of a neural network based approach to construct the proxy function that models the insurer's loss...
Persistent link: https://www.econbiz.de/10013200649
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Least-Squares Monte Carlo for proxy modeling in life insurance : neural networks
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks : open access journal 8 (2020) 4/116, pp. 1-21
The least-squares Monte Carlo method has proved to be a suitable approximation technique for the calculation of a life insurer's solvency capital requirements. We suggest to enhance it by the use of a neural network based approach to construct the proxy function that models the insurer's loss...
Persistent link: https://www.econbiz.de/10012390430
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Ensemble prospectism
Kaivanto, Kim - 2016
Persistent link: https://www.econbiz.de/10012177401
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