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Analysing farmland rental rates using Bayesian geoadditive quantile regression
März, Alexander; Klein, Nadja; Kneib, Thomas; … - Institut für Agrarökonomie, Georg-August-Universität … - 2014
Empirical studies on farmland rental rates have predominantly concentrated on modelling conditional means using spatial autoregressive models, where a linear functional form between the response and the covariates is usually assumed. However, if it is in fact non-linear, misspecifying the...
Persistent link: https://www.econbiz.de/10010981864
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Nowcasting GDP: what are the gains from machine learning algorithms?
Arro-Cannarsa, Milen; Scheufele, Rolf - 2024
Persistent link: https://www.econbiz.de/10015044842
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An ensemble classifier-based scoring model for predicting bankruptcy of Polish companies in the Podkarpackie Voivodeship
Pisula, Tomasz - In: Journal of risk and financial management : JRFM 13 (2020) 2/37, pp. 1-35
of a number of ensemble classifier model variants (boosting, bagging and stacking) was estimated and verified. The … bankruptcy by using ensemble classifiers. The main goal of the research was to develop a scoring model (with good classification … classification effectiveness of ensemble models was compared with eight classical individual models which made use of single …
Persistent link: https://www.econbiz.de/10012173703
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Multi-source adaptive thresholding adaboost with application to virtual metrology
Xie, Yifan; Wang, Tianhui; Jeong, Myong Kee; Lee, … - In: International journal of production research 62 (2024) 17, pp. 6344-6359
Persistent link: https://www.econbiz.de/10015053787