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  • Search: subject:"Bayesian additive regression trees"
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Year of publication
Subject
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Bayes-Statistik 4 Bayesian inference 4 Regression analysis 4 Regressionsanalyse 4 Bayesian additive regression trees 3 Forecasting model 3 Prognoseverfahren 3 Artificial intelligence 2 Bayesian Additive Regression Trees 2 Künstliche Intelligenz 2 artificial intelligence 2 big data 2 deep learning 2 firm performance 2 machine learning 2 management 2 open innovation 2 organizational performance 2 social science 2 Betrug 1 Big Data 1 Big data 1 China 1 Economic crime 1 Economic forecast 1 Election 1 Election Forensics 1 Election Fraud 1 ElectionMonitoring 1 Euro area 1 Eurozone 1 Firm performance 1 Forecast 1 Fraud 1 G20 1 G20 countries 1 G20-Staaten 1 GaussianProcesses 1 Industrial production 1 Industrial production forecasting 1
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Online availability
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Free 5 CC license 1
Type of publication
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Article 3 Book / Working Paper 2
Type of publication (narrower categories)
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Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Article 1
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Language
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English 5
Author
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Illessy, Miklos 2 Kis, Norbert 2 Makó, Csaba 2 Mosavi, Amir 2 Pap, Jozsef 2 Ahmad, Wasim 1 Koenig, Christoph 1 Kumar, Utkarsh 1 Marcellino, Massimiliano 1 Pfarrhofer, Michael 1
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Published in...
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CEIS Tor Vergata research papers : CEIS Tor Vergata research paper series 1 Journal of Open Innovation: Technology, Market, and Complexity 1 Journal of open innovation : technology, market, and complexity 1 Pacific-Basin finance journal 1 Working paper series : working paper 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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Bayesian nonparametric methods for macroeconomic forecasting
Marcellino, Massimiliano; Pfarrhofer, Michael - 2024
Persistent link: https://www.econbiz.de/10015077624
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With a little help from the crowd : estimating election fraud with forensic methods
Koenig, Christoph - 2024
Persistent link: https://www.econbiz.de/10015084496
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Navigating the "twin titans" of global manufacturing : the impact of US and China on industrial production forecasting in G20 nations
Kumar, Utkarsh; Ahmad, Wasim - In: Pacific-Basin finance journal 87 (2024), pp. 1-23
Persistent link: https://www.econbiz.de/10015100748
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Modeling organizational performance with machine learning
Pap, Jozsef; Makó, Csaba; Illessy, Miklos; Kis, Norbert; … - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-19
algorithm and the machine learning method of Bayesian additive regression trees (BART), are used to model the importance of each …
Persistent link: https://www.econbiz.de/10014329677
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Cover Image
Modeling organizational performance with machine learning
Pap, Jozsef; Makó, Csaba; Illessy, Miklos; Kis, Norbert; … - In: Journal of open innovation : technology, market, and … 8 (2022) 4, pp. 1-19
algorithm and the machine learning method of Bayesian additive regression trees (BART), are used to model the importance of each …
Persistent link: https://www.econbiz.de/10013372863
Saved in:
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