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Machine learning advances for time series forecasting

Masini, Ricardo P.; Medeiros, Marcelo C.; Mendes, Eduardo F. - 2020

In this paper we survey the most recent advances in supervised machine learning and highdimensional models for time … predictive ability are brie y reviewed. Finally, we discuss application of machine learning in economics and finance and provide …

Persistent link: https://www.econbiz.de/10012390030

Fan charts in era of big data and learning

Baruník, Jozef; Hanus, Luboš - In: Finance research letters 61 (2024), pp. 1-7

Persistent link: https://www.econbiz.de/10014490768

AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

Li, Huanhuan; Jiao, Hang; Yang, Zaili - In: Transportation research / E : an international journal 175 (2023), pp. 1-39

Persistent link: https://www.econbiz.de/10014381985

Evaluating interpretable machine learning predictions for cryptocurrencies

El Majzoub, Ahmad; Rabhi, Fethi A.; Hussain, Walayat - In: Intelligent systems in accounting, finance & management 30 (2023) 3, pp. 137-149

Persistent link: https://www.econbiz.de/10014375320

Predicting fraud in MD&A sections using deep learning

Sivasubramanian, Sachin Velloor; Skillicorn, David B. - In: Journal of business analytics 7 (2024) 3, pp. 197-206

Persistent link: https://www.econbiz.de/10014548404

Price forecasting of a small pelagic species in a South American supply center : a machine learning approach

França, Vinícius Fellype Cavalcanti de; Oliveira, … - In: Marine resource economics 39 (2024) 2, pp. 145-162

Persistent link: https://www.econbiz.de/10014524822

Machine learning methods that economists should know about

Athey, Susan; Imbens, Guido - In: Annual review of economics 11 (2019), pp. 685-725

Persistent link: https://www.econbiz.de/10012623828

On the stability of machine learning models : measuring model and outcome variance

Dhar, Vasant; Yu, Haoyuan - In: Journal of investment management : JOIM 18 (2020) 2, pp. 9-22

Persistent link: https://www.econbiz.de/10012588870

Efficient counterfactual learning from bandit feedback

Narita, Yusuke; Yasui, Shota; Yata, Kohei - 2018

Persistent link: https://www.econbiz.de/10011948939

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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