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  • Search: subject:"Additive regression"
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Year of publication
Subject
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Regression analysis 18 Regressionsanalyse 18 Bayes-Statistik 9 Bayesian inference 9 Nichtparametrisches Verfahren 9 Nonparametric statistics 8 Theorie 7 Theory 7 Bayesian additive regression trees 5 China 5 Forecasting model 5 Prognoseverfahren 5 machine learning 5 structured additive regression 5 Additive regression 4 Artificial intelligence 4 Bayesian Additive Regression Trees 4 Estimation theory 4 Künstliche Intelligenz 4 Nichtparametrische Schätzung 4 Nonparametric estimation 4 Schätztheorie 4 deep learning 4 Economic forecast 3 Structured Additive Regression 3 Wirtschaftsprognose 3 additive regression 3 child care 3 endogeneity 3 generated regressors 3 gradient boosting 3 interpretability 3 nonparametric regression 3 oracle estimation 3 structural equation 3 test scores 3 transparency 3 Agricultural change 2 BayesX 2 Benchmarking 2
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Online availability
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Free 22 Undetermined 12 CC license 2
Type of publication
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Article 20 Book / Working Paper 14 Other 1
Type of publication (narrower categories)
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Article in journal 13 Aufsatz in Zeitschrift 13 Working Paper 10 Arbeitspapier 6 Graue Literatur 6 Non-commercial literature 6 Article 4
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Language
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English 28 Undetermined 7
Author
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Henderson, Daniel J. 4 Lin, Boqiang 4 Ozabaci, Deniz 4 Su, Liangjun 4 Xu, Bin 4 Bourassa, Steven C. 3 Hoesli, Martin 3 Mayer, Michael 3 Scognamiglio, Donato 3 Bischl, Bernd 2 Brunauer, Wolfgang A. 2 Grün, Bettina 2 Illessy, Miklos 2 Keiler, Sebastian 2 Kis, Norbert 2 Lang, Stefan 2 Makó, Csaba 2 Marcellino, Massimiliano 2 Mayr, Georg 2 Messner, Jakob 2 Mosavi, Amir 2 Pap, Jozsef 2 Pfarrhofer, Michael 2 Pfisterer, Florian 2 Rügamer, David 2 Steinhübel, Linda 2 Umlauf, Nikolaus 2 Zeileis, Achim 2 Ahmad, Wasim 1 Ben-Moshe, Dan 1 Blattenberger, Gail 1 Chen, Xiaohua 1 Chesneau, Christophe 1 D'Haultfœuille, Xavier 1 Daowen Zhang 1 Dennis Boos 1 Dong, Hao 1 Fadili, Jalal 1 Fowles, Richard 1 Frondel, Manuel 1
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Institution
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Institut für Finanzwissenschaft, Fakultät für Volkswirtschaft und Statistik 2 European Association of Agricultural Economists - EAAE 1 Institute for the Study of Labor (IZA) 1
Published in...
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Energy economics 5 AStA Advances in Statistical Analysis 2 IZA Discussion Papers 2 Journal of Multivariate Analysis 2 Pacific-Basin finance journal 2 Working Papers / Institut für Finanzwissenschaft, Fakultät für Volkswirtschaft und Statistik 2 Working Papers in Economics and Statistics 2 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 1 CEIS Tor Vergata research papers : CEIS Tor Vergata research paper series 1 Discussion Papers 1 Discussion paper series / IZA 1 Discussion papers / CEPR 1 Discussion papers / Courant Research Centre "Poverty, Equity and Growth in Developing and Transition Countries: Statistical Methods and Empirical Analysis" 1 Econometric reviews 1 Journal of Open Innovation: Technology, Market, and Complexity 1 Journal of Risk and Financial Management 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of econometrics 1 Journal of forecasting 1 Journal of open innovation : technology, market, and complexity 1 Journal of risk and financial management : JRFM 1 Research paper series / Swiss Finance Institute 1 Working paper series : working paper 1
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Source
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ECONIS (ZBW) 19 EconStor 8 RePEc 6 BASE 2
Showing 1 - 10 of 35
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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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Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods
Rügamer, David; Pfisterer, Florian; Bischl, Bernd; … - In: AStA Advances in Statistical Analysis 108 (2023) 2, pp. 351-373
In this work, we propose an efficient implementation of mixtures of experts distributional regression models which exploits robust estimation by using stochastic first-order optimization techniques with adaptive learning rate schedulers. We take advantage of the flexibility and scalability of...
Persistent link: https://www.econbiz.de/10015327403
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Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods
Rügamer, David; Pfisterer, Florian; Bischl, Bernd; … - In: AStA Advances in Statistical Analysis 108 (2023) 2, pp. 351-373
In this work, we propose an efficient implementation of mixtures of experts distributional regression models which exploits robust estimation by using stochastic first-order optimization techniques with adaptive learning rate schedulers. We take advantage of the flexibility and scalability of...
Persistent link: https://www.econbiz.de/10015404246
Saved in:
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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
Saved in:
Cover Image
Machine learning applications to land and structure valuation
Mayer, Michael; Bourassa, Steven C.; Hoesli, Martin; … - In: Journal of Risk and Financial Management 15 (2022) 5, pp. 1-24
practical applications that require greater interpretability. This problem can be resolved by certain structured additive … regression (STAR) models, which are a rich class of regression models that include the generalized linear model (GLM) and the …
Persistent link: https://www.econbiz.de/10014332394
Saved in:
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
Machine learning applications to land and structure valuation
Mayer, Michael; Bourassa, Steven C.; Hoesli, Martin; … - In: Journal of risk and financial management : JRFM 15 (2022) 5, pp. 1-24
practical applications that require greater interpretability. This problem can be resolved by certain structured additive … regression (STAR) models, which are a rich class of regression models that include the generalized linear model (GLM) and the …
Persistent link: https://www.econbiz.de/10013273136
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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