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  • Search: subject:"Bayesian additive regression trees"
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Year of publication
Subject
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Bayes-Statistik 8 Bayesian inference 8 Regression analysis 8 Regressionsanalyse 8 Bayesian additive regression trees 5 Forecasting model 5 Prognoseverfahren 5 Bayesian Additive Regression Trees 4 Economic forecast 3 Theorie 3 Theory 3 Wirtschaftsprognose 3 Artificial intelligence 2 Euro area 2 Eurozone 2 GaussianProcesses 2 Künstliche Intelligenz 2 Nichtparametrisches Verfahren 2 Nonparametric statistics 2 Structural break 2 Strukturbruch 2 Time series analysis 2 USA 2 United States 2 VAR model 2 VAR-Modell 2 Zeitreihenanalyse 2 artificial intelligence 2 big data 2 deep learning 2 euro area 2 firm performance 2 machine learning 2 management 2 multivariate time series analysis 2 open innovation 2 organizational performance 2 social science 2 structural breaks 2 Betrug 1
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Online availability
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Free 5 Undetermined 4 CC license 1
Type of publication
All
Article 6 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Working Paper 3 Article 1
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Language
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English 9
Author
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Illessy, Miklos 2 Kis, Norbert 2 Makó, Csaba 2 Marcellino, Massimiliano 2 Mosavi, Amir 2 Pap, Jozsef 2 Pfarrhofer, Michael 2 Ahmad, Wasim 1 Blattenberger, Gail 1 Chen, Xiaohua 1 Fowles, Richard 1 Frondel, Manuel 1 Kaeding, Matthias 1 Koenig, Christoph 1 Kumar, Utkarsh 1 Lv, Xinxin 1 Sommer, Stephan 1 Xu, Xiaohui 1 Yang, Jun 1
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Published in...
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Pacific-Basin finance journal 2 CEIS Tor Vergata research papers : CEIS Tor Vergata research paper series 1 Discussion papers / CEPR 1 Energy economics 1 Journal of Open Innovation: Technology, Market, and Complexity 1 Journal of forecasting 1 Journal of open innovation : technology, market, and complexity 1 Working paper series : working paper 1
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Source
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ECONIS (ZBW) 8 EconStor 1
Showing 1 - 9 of 9
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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:
Cover Image
Bayesian nonparametric methods for macroeconomic forecasting
Marcellino, Massimiliano; Pfarrhofer, Michael - 2024
Persistent link: https://www.econbiz.de/10014520837
Saved in:
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Heterogeneous treatment effects of digital transformation on firms' innovation : based on BART method
Yang, Jun; Lv, Xinxin; Xu, Xiaohui; Chen, Xiaohua - In: Pacific-Basin finance journal 85 (2024), pp. 1-15
Persistent link: https://www.econbiz.de/10014575947
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Market premia for renewables in Germany : the effect on electricity prices
Frondel, Manuel; Kaeding, Matthias; Sommer, Stephan - In: Energy economics 109 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013283830
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Treed avalanche forecasting : mitigating avalanche danger utilizing Bayesian additive regression trees
Blattenberger, Gail; Fowles, Richard - In: Journal of forecasting 36 (2017) 2, pp. 165-180
Persistent link: https://www.econbiz.de/10011729133
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