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  • Search: subject:"boosting trees"
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Subject
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Forecasting model 5 Prognoseverfahren 5 machine learning 5 Artificial intelligence 4 Künstliche Intelligenz 4 Regression analysis 3 Regressionsanalyse 3 gradient boosting trees 3 insurance 3 predictive modeling 3 Boosting trees 2 Forecast 2 Prognose 2 boosting trees 2 gradient boosting 2 negative binomial 2 ARCH model 1 ARCH-Modell 1 Actuarial mathematics 1 Baumwollanbau 1 Baumwolle 1 CatBoost 1 China 1 Commodity derivative 1 Cotton 1 Cotton production 1 Crude oil futures market 1 Data Mining 1 Data mining 1 Decision tree 1 Decomposition method 1 Dekompositionsverfahren 1 Ensemble boosting trees 1 Entscheidungsbaum 1 Erdöl 1 Forestry 1 Forstwirtschaft 1 Generalisiertes lineares Modell 1 Generalized linear model 1 Insurance 1
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Online availability
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Undetermined 6 Free 2 CC license 1
Type of publication
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Article 8
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Article 1
Language
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English 7 Undetermined 1
Author
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Lee, Simon CK 2 Adjemian, Michael K. 1 Delen, Dursun 1 Eryarsoy, Enes 1 Feng, Lingbing 1 Gao, Chao 1 Glauber, Joseph W. 1 Goyal, Raghav 1 Lee, Simon C. K. 1 Li, Tianxi 1 Lima, Marcio Salles Melo 1 Lucey, Brian M. 1 Meyer, Seth 1 Prakash Raj, E. George Dharma 1 Rajaratnam, Bala 1 Rao, Haicheng 1 Sanjith, S. L. 1 Xu, Meng 1 Zhu, Yiying 1
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Published in...
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ASTIN bulletin : the journal of the International Actuarial Association 1 Computational Statistics 1 INFORMS journal on applied analytics 1 International journal of intelligent enterprise 1 International review of economics & finance : IREF 1 Journal of agricultural and resource economics : JARE ; the journal of the Western Agricultural Economics Association 1 Risks 1 Risks : open access journal 1
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Source
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ECONIS (ZBW) 6 EconStor 1 RePEc 1
Showing 1 - 8 of 8
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Volatility forecasting on China's oil futures : new evidence from interpretable ensemble boosting trees
Feng, Lingbing; Rao, Haicheng; Lucey, Brian M.; Zhu, Yiying - In: International review of economics & finance : IREF 92 (2024), pp. 1595-1615
Persistent link: https://www.econbiz.de/10014535122
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Delta boosting implementation of negative binomial regression in actuarial pricing
Lee, Simon CK - In: Risks : open access journal 8 (2020) 1/19, pp. 1-21
This study proposes an efficacious approach to analyze the over-dispersed insurance frequency data as it is imperative for the insurers to have decisive informative insights for precisely underwriting and pricing insurance products, retaining existing customer base and gaining an edge in the...
Persistent link: https://www.econbiz.de/10012203805
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Decomposing USDA ending stocks forecast errors
Goyal, Raghav; Adjemian, Michael K.; Glauber, Joseph W.; … - In: Journal of agricultural and resource economics : JARE ; … 48 (2023) 2, pp. 260-276
Persistent link: https://www.econbiz.de/10014328136
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Delta boosting implementation of negative binomial regression in actuarial pricing
Lee, Simon CK - In: Risks 8 (2020) 1, pp. 1-21
This study proposes an efficacious approach to analyze the over-dispersed insurance frequency data as it is imperative for the insurers to have decisive informative insights for precisely underwriting and pricing insurance products, retaining existing customer base and gaining an edge in the...
Persistent link: https://www.econbiz.de/10013200554
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Predicting and explaining pig iron production on charcoal blast furnaces : a machine learning approach
Lima, Marcio Salles Melo; Eryarsoy, Enes; Delen, Dursun - In: INFORMS journal on applied analytics 51 (2021) 3, pp. 213-235
Persistent link: https://www.econbiz.de/10012596350
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Addressing imbalanced insurance data through zero-inflated poisson regression with boosting
Lee, Simon C. K. - In: ASTIN bulletin : the journal of the International … 51 (2021) 1, pp. 27-55
Persistent link: https://www.econbiz.de/10012437273
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Reinforcement-based heterogeneous ensemble for anomaly detection in streaming environment
Sanjith, S. L.; Prakash Raj, E. George Dharma - In: International journal of intelligent enterprise 7 (2020) 1/2/3, pp. 155-165
Persistent link: https://www.econbiz.de/10012177310
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Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees
Li, Tianxi; Gao, Chao; Xu, Meng; Rajaratnam, Bala - In: Computational Statistics 29 (2014) 1, pp. 141-157
The Deepwater Horizon oil discharge in the Gulf of Mexico is considered to be one of the worst environmental disasters to date. The spread of the oil spill and its consequences thereof had various environmental impacts. The National Oceanic and Atmospheric Administration (NOAA) in conjunction...
Persistent link: https://www.econbiz.de/10010998450
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