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Judgment extremity and accuracy under epistemic vs. aleatory uncertainty
Tannenbaum, David; Fox, Craig R.; Ülkümen, Gülden - In: Management science : journal of the Institute for … 63 (2017) 2, pp. 497-518
Persistent link: https://www.econbiz.de/10011647370
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Algorithm supported induction for building theory : how can we use prediction models to theorize?
Shrestha, Yash R.; He, Fang; Puranam, Phanish; Krogh, … - In: Organization science : a journal of the Institute for … 32 (2021) 3, pp. 856-880
Persistent link: https://www.econbiz.de/10012610487
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An interpretable machine learning workflow with an application to economic forecasting
Buckmann, Marcus; Joseph, Andreas - 2022
Persistent link: https://www.econbiz.de/10013286828
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Bayesian machine learning for financial modeling
Nirwan, Rajbir Singh - 2021
Persistent link: https://www.econbiz.de/10012816317
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Efficient counterfactual learning from bandit feedback
Narita, Yusuke; Yasui, Shota; Yata, Kohei - 2018
Persistent link: https://www.econbiz.de/10011948939
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Application of machine learning to mortality modeling and forecasting
Levantesi, Susanna; Pizzorusso, Virginia - In: Risks : open access journal 7 (2019) 1/26, pp. 1-19
quality of the standard stochastic models. Out-of sample forecasts are provided to verify the model accuracy. …
Persistent link: https://www.econbiz.de/10012015932
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Deeptriangle : a deep learning approach to loss reserving
Kuo, Kevin - In: Risks : open access journal 7 (2019) 3/97, pp. 1-12
data across lines of business, and show that they improve on the predictive accuracy of existing stochastic methods. The …
Persistent link: https://www.econbiz.de/10012126426
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Machine learning in macro-economic series forecasting
Liao, Yun - In: International journal of economics and finance 9 (2017) 12, pp. 71-76
Persistent link: https://www.econbiz.de/10011782656
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Deep learning, predictability, and optimal portfolio returns
Babiak, Mykola; Baruník, Jozef - 2020
Persistent link: https://www.econbiz.de/10012542701
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Asset return prediction via machine learning
Zhang, Liangliang - In: Journal of mathematical finance 9 (2019) 4, pp. 691-697
Persistent link: https://www.econbiz.de/10012433454