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Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction
Kratsch, Wolfgang; Manderscheid, Jonas Hans; … - In: Business & information systems engineering 63 (2021) 3, pp. 261-276
Persistent link: https://www.econbiz.de/10012542845
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A simulation-based approach to understanding the wisdom of crowds phenomenon in aggregating expert judgment
Afflerbach, Patrick Jürgen; Dun, Christopher van; … - In: Business & information systems engineering 63 (2021) 4, pp. 329-348
Persistent link: https://www.econbiz.de/10012599806
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Introducing shrinkage in heavy-tailed state space models to predict equity excess returns
Huber, Florian; Kastner, Gregor; Pfarrhofer, Michael - In: Empirical economics : a quarterly journal of the … 68 (2025) 2, pp. 535-553
Persistent link: https://www.econbiz.de/10015193830
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Sophisticated and small versus simple and sizeable : when does it pay off to introduce drifting coefficients
Feldkircher, Martin; Huber, Florian; Kastner, Gregor - 2018
Persistent link: https://www.econbiz.de/10011799559
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Sophisticated and small versus simple and sizeable : when does it pay off to introduce drifting coefficients in Bayesian vector autoregressions?
Feldkircher, Martin; Gruber, Luis; Huber, Florian; … - In: Journal of forecasting 43 (2024) 6, pp. 2126-2145
Persistent link: https://www.econbiz.de/10015110374