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Year of publication
Subject
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BASEL II 1 CREDIT RISK 1 FEATURE SELECTION 1 Forecasting model 1 GRADIENT BOOSTING 1 KAGGLE 1 Kaggle 1 LGD 1 M competitions 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1 evaluation 1 forecasting accuracy 1 neural networks 1 prediction intervals 1 probability scoring 1 time series 1
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Online availability
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Free 2
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 1 Undetermined 1
Author
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Hyndman, Rob J. 1 KATESHOV A. 1 KREIENKAMP T. 1
Published in...
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Working paper / Department of Econometrics and Business Statistics, Monash University 1 Корпоративные финансы Journal of Corporate Finance Research 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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A brief history of forecasting competitions
Hyndman, Rob J. - 2019
Persistent link: https://www.econbiz.de/10012592216
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CREDIT RISK MODELING: COMBINING CLASSIFICATION AND REGRESSION ALGORITHMS TO PREDICT EXPECTED LOSS
KREIENKAMP T.; KATESHOV A. - In: Корпоративные финансы Journal of … (2014) 3, pp. 4-10
Credit risk assessment is of paramount importance in the financial industry. Machine learning techniques have been used successfully over the last two decades to predict the probability of loan default (PD). This way, credit decisions can be automated and risk can be reduced significantly. In...
Persistent link: https://www.econbiz.de/10011246853
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