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  • Search: subject:"Gradient Boosting"
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Year of publication
Subject
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Artificial intelligence 86 Künstliche Intelligenz 86 Forecasting model 81 Prognoseverfahren 81 gradient boosting 48 Theorie 42 Theory 42 Gradient boosting 37 machine learning 37 Machine learning 32 Neural networks 25 Neuronale Netze 25 Insolvency 16 Insolvenz 16 random forest 15 Random forest 14 Regression analysis 14 Regressionsanalyse 14 Credit rating 11 Decision tree 11 Entscheidungsbaum 11 Kreditwürdigkeit 11 Algorithm 9 Algorithmus 9 Capital income 9 Credit risk 9 Extreme gradient boosting 9 Kapitaleinkommen 9 Kreditrisiko 9 random forests 9 Data Mining 7 Data mining 7 Mustererkennung 7 Pattern recognition 7 deep learning 7 Estimation theory 6 Gradient Boosting 6 Gradient boosting machines 6 Learning process 6 Lernprozess 6
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Online availability
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Undetermined 87 Free 74 CC license 21
Type of publication
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Article 132 Book / Working Paper 34
Type of publication (narrower categories)
All
Article in journal 115 Aufsatz in Zeitschrift 115 Working Paper 29 Graue Literatur 23 Non-commercial literature 23 Arbeitspapier 22 Article 9 research-article 3 Aufsatz im Buch 1 Book section 1 Collection of articles written by one author 1 Hochschulschrift 1 Sammlung 1
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Language
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English 155 Undetermined 8 Spanish 2 French 1
Author
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Bourassa, Steven C. 5 Hoesli, Martin 5 Mayer, Michael 5 Scognamiglio, Donato 4 Simon, Thorsten 4 Umlauf, Nikolaus 4 Zeileis, Achim 4 Carmona, Pedro 3 Do, Xuan Anh 3 Grebenar, Tomislav 3 Hrbić, Rajka 3 Huck, Nicolas 3 Jones, Stewart 3 Krauss, Christopher 3 Melsom, Borger 3 Vennerød, Christian Bakke 3 Westgaard, Sjur 3 Ben Taieb, Souhaib 2 Berndt, Mihály 2 Brédart, Xavier 2 Burger, Csaba 2 DeMiguel, Victor 2 Denuit, Michel 2 Duval, Francis 2 Fabsic, Peter 2 Ghosh, Indranil 2 Gil-Bazo, Javier 2 Hyndman, Rob J. 2 Jaquart, Patrick 2 Jiang, Ping 2 Kagie, M. 2 Kagie, Martijn 2 Kumar, Pradeep 2 Lange, Petter Eilif de 2 Lee, Simon CK 2 Levantesi, Susanna 2 Lextrait, Bastien 2 Liu, Jiaming 2 Liu, Zhenkun 2 Lloyd, James Robert 2
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Institution
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Erasmus University Rotterdam, Econometric Institute 2 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 2
Published in...
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Computational economics 6 European journal of operational research : EJOR 6 International journal of forecasting 6 Journal of Risk and Financial Management 6 Journal of risk and financial management : JRFM 6 Risks : open access journal 6 Journal of forecasting 5 Research paper series / Swiss Finance Institute 4 Finance research letters 3 Scandinavian actuarial journal 3 The Journal of finance and data science : JFDS 3 Transportation research / E : an international journal 3 Applied economics 2 Decision analytics journal 2 Econometric Institute Report 2 Econometric Institute Research Papers 2 Energy economics 2 INFORMS journal on applied analytics 2 International Journal of Energy Economics and Policy : IJEEP 2 International Journal of Forecasting 2 Journal of air transport management : a new international journal of research, policy and practice 2 Journal of business research : JBR 2 Risks 2 The journal of credit risk : published quarterly by Incisive Media 2 Working Papers in Economics and Statistics 2 Working papers in economics and statistics 2 ASTIN bulletin : the journal of the International Actuarial Association 1 AStA Advances in Statistical Analysis 1 Abacus : a journal of accounting, finance and business studies 1 Academia : revista Latinoamericana de administración 1 Accounting Research Journal 1 Advances in business and management forecasting 1 Analytics Enabled Decision Making 1 Asia-Pacific journal of financial studies 1 Barcelona GSE working paper series : working paper 1 Benchmarking : an international journal 1 CREATES research paper 1 Computational Management Science : CMS 1 Corporate governance : international journal of business in society 1 Discussion paper 1
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Source
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ECONIS (ZBW) 139 EconStor 16 RePEc 8 Other ZBW resources 3
Showing 91 - 100 of 166
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Baseball informatics : from MiLB to MLB debut
Lee, Chung-Hao; Lee, Woei-jyh - In: Analytics Enabled Decision Making, (pp. 89-122). 2023
Persistent link: https://www.econbiz.de/10014302860
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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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Forecasting mid-price movement of bitcoin futures using machine learning
Akyildirim, Erdinc; Cepni, Oguzhan; Corbet, Shaen; … - 2020
Persistent link: https://www.econbiz.de/10013041345
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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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Recession Prediction with Optimal Use of Leading Indicators
Kauppi, Heikki - 2019
We use the gradient boosting estimation technique and the ROC curveto non-parametrically measure and exploit the …
Persistent link: https://www.econbiz.de/10012503078
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Individual loss reserving using a gradient boosting-based approach
Duval, Francis; Pigeon, Mathieu - In: Risks 7 (2019) 3, pp. 1-18
generalized linear models and gradient boosting algorithm in an individual framework. These claim-level models use information …
Persistent link: https://www.econbiz.de/10013200497
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Individual loss reserving using a gradient boosting-based approach
Duval, Francis; Pigeon, Mathieu - In: Risks : open access journal 7 (2019) 3/79, pp. 1-18
generalized linear models and gradient boosting algorithm in an individual framework. These claim-level models use information …
Persistent link: https://www.econbiz.de/10012127554
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Contributions of statistical learning to actuarial sciences and financial risk management
Piette, Pierrick - 2019
Persistent link: https://www.econbiz.de/10012163722
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Corporate default forecasting with machine learning
Moscatelli, Mirko; Narizzano, Simone; Parlapiano, Fabio; … - 2019
Persistent link: https://www.econbiz.de/10012144526
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Deep learning meets decision trees : an application of a heterogeneous deep forest approach in credit scoring for online consumer lending
Xia, Yufei; Guo, Xinyi; Li, Yinguo; He, Lingyun; Chen, … - In: Journal of forecasting 41 (2022) 8, pp. 1669-1690
Persistent link: https://www.econbiz.de/10013465738
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