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Algorithms for generalized clusterwise linear regression
Park, Young Woong; Jiang, Yan; Klabjan, Diego; … - In: INFORMS journal on computing : JOC 29 (2017) 2, pp. 301-317
Persistent link: https://www.econbiz.de/10011691196
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Correcting misclassification bias in regression models with variables generated via data mining
Qiao, Mengke; Huang, Ke-Wei - In: Information systems research : ISR 32 (2021) 2, pp. 462-480
Persistent link: https://www.econbiz.de/10012599859
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Mining big data using parsimonious factor and shrinkage methods
Kim, Hyun Hak; Swanson, Norman R. - 2013
A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for modelling low frequency macroeconomic variables such as...
Persistent link: https://www.econbiz.de/10009766687
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Estimating the anomaly base rate
Chinco, Alex; Neuhierl, Andreas; Weber, Michael - In: Journal of financial economics 140 (2021) 1, pp. 101-126
Persistent link: https://www.econbiz.de/10013188625
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Clusterwise support vector linear regression
Joki, Kaisa; Bagirov, Adil; Karmitsa, Napsu; Mäkelä, … - In: European journal of operational research : EJOR 287 (2020) 1, pp. 19-35
Persistent link: https://www.econbiz.de/10012293707
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Estimating the anomaly base rate
Chinco, Alexander M.; Neuhierl, Andreas; Weber, Michael - 2019
Persistent link: https://www.econbiz.de/10012169660
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Statistical data mining procedures in generalized cox regressions
Wei, Zhen - In: The Oxford handbook of credit derivatives, (pp. 123-156). 2011
Persistent link: https://www.econbiz.de/10014565532
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Statistical Data Mining Procedures in Generalized Cox Regressions
Wei, Zhen - In: The Oxford handbook of credit derivatives. 2012
Persistent link: https://www.econbiz.de/10012882011
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Data analytics for non-life insurance pricing
Wüthrich, Mario V.; Buser, Christoph - 2017 - Draft lecture notes, version January 27, 2017
regression trees, bagging, random forest, boosting machines and neural networks. Finally, we provide methodologies for analysing …
Persistent link: https://www.econbiz.de/10011625588
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Statistics and machine learning methods for EHR data : from data extraction to data analytics
Wu, Hulin (ed.); Yamal, Jose-Miguel (ed.);  … - 2020 - First edition.
Introduction: Use of EHR data for scientific discoveries-challenges and opportunities / Hulin Wu -- EHR project management / Yashar Talebi and Ashraf Yaseen -- EHR databases and data management : data query and extraction / Gen Zhu, Vi K. Ly, Michael Gonzalez, Leqing Wu, Hulin Wu, and Ashraf...
Persistent link: https://www.econbiz.de/10013183032