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The law of crypto assets : a handbook
Maume, Philipp (ed.); Maute, Lena (ed.);  … - 2022
Persistent link: https://www.econbiz.de/10012642408
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Predict US restaurant firm failures: the artificial neural network model versus logistic regression model
Youn, Hyewon; Gu, Zheng - In: Tourism and hospitality research : the surrey quarterly … 10 (2010) 3, pp. 171-187
Persistent link: https://www.econbiz.de/10008653928
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Development of proactive risk-predictive model for 4PL transaction center using PLS regression and neural networks
Kumar, K. M. Sharath; Narahari, H. K.; Wright, Nicholas - In: The IUP journal of supply chain management : IJSCM 11 (2014) 1, pp. 36-51
Persistent link: https://www.econbiz.de/10010367378
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A quantile regression neural network approach to estimating the conditional density of multiperiod returns
Taylor, James W. - In: Journal of forecasting 19 (2000) 4, pp. 299-311
Persistent link: https://www.econbiz.de/10001504631
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Nonlinear prediction of conditional percentiles for value-at-risk
Chang, Isaac J. - In: Glucksman fellowship program student research reports. 1999
Persistent link: https://www.econbiz.de/10001467190
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Artificial neural networks versus multiple repression in tourism demand analsis
Uysal, Muzaffer; Roubi, M. Sherif el - In: Journal of travel research : a quarterly publication of … 38 (1999) 2, pp. 111-118
Persistent link: https://www.econbiz.de/10001539251
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A comparison of conventional linear regression methods and neural networks for forecasting educational spending
Baker, Bruce D.; Richards, Craig E. - In: Economics of education review 18 (1999) 4, pp. 405-415
Persistent link: https://www.econbiz.de/10001411546
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Modeling and forecasting US presidential election using learning algorithms
Zolghadr, Mohammad; Niaki, Seyed Armin Akhavan; Niaki, … - In: Journal of industrial engineering international 14 (2018) 3, pp. 491-500
identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on …’s approval rate, and others are considered in a stepwise regression to identify significant variables. The president’s approval … to linear regression based on each method’s calculated performance measures. The SVR model is identified as the most …
Persistent link: https://www.econbiz.de/10011887885
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Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Chu, Ba; Qureshi, Shafiullah - In: Computational economics 62 (2023) 4, pp. 1567-1609
Persistent link: https://www.econbiz.de/10014437505
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Learning organization modelling patterns
Santa, Mijalce; Nurcan, Selmin - In: Knowledge management research & practice : KMRP 14 (2016) 1, pp. 106-125
Persistent link: https://www.econbiz.de/10011490306