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Convolutional and generative adversarial neural networks in manufacturing

Kusiak, Andrew - In: International journal of production research 58 (2020) 5, pp. 1594-1604

Persistent link: https://www.econbiz.de/10012194100

The flex-route transit planning problem with meeting points

Li, Mingyang; Wu, Lingxiao; Wang, Yadong; Tang, Jinjun; … - In: Transportation research : an international journal 195 (2025), pp. 1-38

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Investing with Cryptocurrencies - A Liquidity Constrained Investment Approach

Trimborn, Simon - 2019

Cryptocurrencies have left the dark side of the finance universe and become an object of study for asset and portfolio management. Since they have a low liquidity compared to traditional assets, one needs to take into account liquidity issues when adding them to the same portfolio. We propose a...

Persistent link: https://www.econbiz.de/10012901567

Do institutions matter for economic growth?

Li, Mingyang; Kumbhakar, Subal - In: International review of economics : RISEC 69 (2022) 4, pp. 465-485

Persistent link: https://www.econbiz.de/10014252032

Do subsidies matter in productivity and profitability changes?

Kumbhakar, Subal; Li, Mingyang; Lien, Gudbrand - In: Economic modelling 123 (2023), pp. 1-24

Persistent link: https://www.econbiz.de/10014462529

Is output growth of Chinese manufacturing firms input or productivity driven? : a flexible production function approach with endogenous inputs

Kumbhakar, Subal; Li, Mingyang - In: Empirical economics : a quarterly journal of the … 66 (2024) 4, pp. 1819-1846

Persistent link: https://www.econbiz.de/10014519980

Investing with cryptocurrencies : a liquidity constrained investment approach

Trimborn, Simon; Li, Mingyang; Härdle, Wolfgang - 2017

Persistent link: https://www.econbiz.de/10011672439

Investing with cryptocurrencies : a liquidity constrained investment approach

Trimborn, Simon; Li, Mingyang; Härdle, Wolfgang - In: Journal of financial econometrics 18 (2020) 2, pp. 280-306

Persistent link: https://www.econbiz.de/10012232957

Claims data-driven modeling of hospital time-to-readmission risk with latent heterogeneity

Chen, Suiyao; Kong, Nan; Sun, Xuxue; Meng, Hongdao; Li, … - In: Health care management science 22 (2019) 1, pp. 156-179

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Forecasting technology success based on patent data

Altuntas, Serkan; Dereli, Türkay; Kusiak, Andrew - In: Technological forecasting & social change : an … 96 (2015), pp. 202-214

Persistent link: https://www.econbiz.de/10011532541