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Identifying winners of competitive events: A SVM-based classification model for horserace prediction
Lessmann, Stefan; Sung, Ming-Chien; Johnson, Johnnie E.V. - In: European journal of operational research : EJOR 196 (2009) 2, pp. 569-577
Persistent link: https://www.econbiz.de/10008165509
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A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction
Lessmann, Stefan; Sung, Ming-Chien; Johnson, Johnnie E.V.; … - In: European journal of operational research : EJOR 218 (2012) 1, pp. 163-175
Persistent link: https://www.econbiz.de/10009818518
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A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction
Lessmann, Stefan; Sung, Ming-chien; Johnson, Johnnie E. V. - In: European journal of operational research : EJOR 218 (2012) 1, pp. 163-174
Persistent link: https://www.econbiz.de/10009501053
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Time is money : costing the impact of duration misperception in market prices
Ma, Tiejun; Tang, Leilei; McGroarty, Frank; Sung, Ming-chien - In: European journal of operational research : EJOR 255 (2016) 2, pp. 397-410
Persistent link: https://www.econbiz.de/10011532085
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Probabilistic forecasting with discrete choice models : evaluating predictions with pseudo-coefficients of determination
Sung, Ming-chien; McDonald, David C. J.; Johnson, … - In: European journal of operational research : EJOR 249 (2016) 3, pp. 1021-1030
Persistent link: https://www.econbiz.de/10011412507
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Are the least successful traders those most likely to exit the market? : a survival analysis contribution to the efficient market debate
Ma, Tiejun; Fraser-Mackenzie, Peter A. F.; Sung, Ming-chien - In: European journal of operational research : EJOR 299 (2022) 1, pp. 330-345
Persistent link: https://www.econbiz.de/10013206989
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To what extent can new web-based technology improve forecasts? : assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial ma...
Green, Lawrence; Sung, Ming-chien; Ma, Tiejun; Johnson, … - In: European journal of operational research : EJOR 278 (2019) 1, pp. 226-239
Persistent link: https://www.econbiz.de/10012102607
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Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements
Sung, Ming-chien; McDonald, David C. J.; Johnson, … - In: European journal of operational research : EJOR 272 (2019) 1, pp. 389-405
Persistent link: https://www.econbiz.de/10011942078
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A reference model for customer-centric data mining with support vector machines
Lessmann, Stefan; Voß, Stefan - In: European journal of operational research : EJOR 199 (2009) 2, pp. 520-530
Persistent link: https://www.econbiz.de/10003867323
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Benchmarking state-of-the-art classification algorithms for credit scoring : an update of research
Lessmann, Stefan; Baesens, Bart; Seow, Hsin-Vonn; … - In: European journal of operational research : EJOR 247 (2015) 1, pp. 124-136
Persistent link: https://www.econbiz.de/10011347117