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  • Search: subject:"Gradient boosting"
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Year of publication
Subject
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Artificial intelligence 85 Künstliche Intelligenz 85 Forecasting model 81 Prognoseverfahren 81 gradient boosting 48 Theorie 42 Theory 42 Gradient boosting 37 machine learning 37 Machine learning 31 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 machines 6 Learning process 6 Lernprozess 6 Portfolio selection 6
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Online availability
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Undetermined 87 Free 73 CC license 20
Type of publication
All
Article 131 Book / Working Paper 34
Type of publication (narrower categories)
All
Article in journal 114 Aufsatz in Zeitschrift 114 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 154 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
All
Erasmus University Rotterdam, Econometric Institute 2 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 2
Published in...
All
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) 138 EconStor 16 RePEc 8 Other ZBW resources 3
Showing 51 - 60 of 165
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Identifying new earnings management components: a machine learning approach
Almasarwah, Adel; Aram, Khalid Y.; Alhaj-Yaseen, Yaseen S. - In: Accounting Research Journal 37 (2024) 4, pp. 418-435
examining managerial motives for using these components. Design/methodology/approach Using eXtreme gradient boosting on 23 …
Persistent link: https://www.econbiz.de/10015341113
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Machine learning and financial literacy: An exploration of factors influencing financial knowledge in Italy
Levantesi, Susanna; Zacchia, Giulia - In: Journal of Risk and Financial Management 14 (2021) 3, pp. 1-21
, such as decision trees, random, forest and gradient boosting techniques, can be a valuable complement to standard models …
Persistent link: https://www.econbiz.de/10012611677
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Predicting gold and silver price direction using tree-based classifiers
Sadorsky, Perry A. - In: Journal of Risk and Financial Management 14 (2021) 5, pp. 1-21
(bagging, stochastic gradient boosting, random forests) to predict the price direction of gold and silver exchange traded funds …. Decision tree bagging, stochastic gradient boosting, and random forests predictions of gold and silver price direction are much … 55% and 60%. Stochastic gradient boosting accuracy is a few percentage points less than that of random forests for …
Persistent link: https://www.econbiz.de/10012611755
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Short-term bitcoin market prediction via machine learning
Jaquart, Patrick; Dann, David; Weinhardt, Christof - In: The Journal of finance and data science : JFDS 7 (2021), pp. 45-66
networks and gradient boosting classifiers are especially well-suited for the examined prediction tasks. We use a comprehensive …
Persistent link: https://www.econbiz.de/10013162705
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Can machine learning help to select portfolios of mutual funds?
DeMiguel, Victor; Gil-Bazo, Javier; Nogales, Francisco J.; … - 2021 - This version: March 24, 2021
Persistent link: https://www.econbiz.de/10012819375
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Application of classification algorithms for the assessment of confirmation to quality remarks
Zambuto, Fabio; Arcuti, Simona; Sabatini, Roberto; … - 2021
Persistent link: https://www.econbiz.de/10012820274
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Can machine learning help to select portfolios of mutual funds?
DeMiguel, Victor; Gil-Bazo, Javier; Nogales, Francisco J.; … - 2021
Persistent link: https://www.econbiz.de/10012822132
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A machine learning approach to volatility forecasting
Christensen, Kim; Siggaard, Mathias Voldum; Veliyev, … - 2021
Persistent link: https://www.econbiz.de/10012434010
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Optimization of logistics processes of the supply chain using RFID technology
Rymarczyk, Paweł; Małek, Arkadiusz; Nowak, Ryszard; … - In: European research studies 24 (2021) 2, pp. 637-647
Persistent link: https://www.econbiz.de/10012663975
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Machine learning and financial literacy : an exploration of factors influencing financial knowledge in Italy
Levantesi, Susanna; Zacchia, Giulia - In: Journal of risk and financial management : JRFM 14 (2021) 3/120, pp. 1-21
, such as decision trees, random, forest and gradient boosting techniques, can be a valuable complement to standard models …
Persistent link: https://www.econbiz.de/10012485333
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