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Predicting peak load of bus routes with supply optimization and scaled Shepard interpolation : a newsvendor model
Wu, Weitiao; Li, Peng; Liu, Ronghui; Jin, Wenzhou; Yao, … - In: Transportation research / E : an international journal 142 (2020), pp. 1-25
Persistent link: https://www.econbiz.de/10012319556
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Probabilistic forecasting of bus travel time with a bayesian gaussian mixture model
Chen, Xiaoxu; Cheng, Zhanhong; Jin, Jian Gang; … - In: Transportation science 57 (2023) 6, pp. 1516-1535
Persistent link: https://www.econbiz.de/10014464480
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Verbesserung der Prognosegüte bei der Unternehmensbewertung : Konvergenzprozesse in der Restwertperiode
Weiler, Axel - 2005 - 1. Aufl.
Persistent link: https://www.econbiz.de/10003075520
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Data mining for big data macroeconomic forecasting: a complementary approach to factor models
Brandl, Bernd; Keber, Christian; Schuster, Matthias G. - In: Operations research proceedings 2005 : selected papers …, (pp. 483-488). 2006
Persistent link: https://www.econbiz.de/10003347709
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A heuristic method for parameter selection in LS-SVM : application to time series prediction
Rubio, Ginés; Pomares, Héctor; Rojas, Ignacio; … - In: International journal of forecasting 27 (2011) 3, pp. 725-739
Persistent link: https://www.econbiz.de/10009248188
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A comparison between nature-inspired and machine learning approaches to detecting trend reversals in financial time series
Azzini, Antonia; Felice, Matteo De; Tettamanzi, Andrea G. B. - In: Natural computing in computational finance : volume 4, (pp. 39-59). 2011
Persistent link: https://www.econbiz.de/10009423552
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A methodology based on evolutionary algorithms to solve a dynamic pickup and delivery problem under a hybrid predictive control approach
Muñoz-Carpintero, Diego; Sáez, Doris; Cortés, Cristian E. - In: Transportation science : a journal of the Institute for … 49 (2015) 2, pp. 239-253
Persistent link: https://www.econbiz.de/10011287514
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The bias bias
Brighton, Henry; Gigerenzer, Gerd - In: Journal of business research : JBR 68 (2015) 8, pp. 1772-1784
Persistent link: https://www.econbiz.de/10011317063
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Lasso-type and heuristic strategies in model selection and forecasting
Savin, Ivan; Winker, Peter - 2012
Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...
Persistent link: https://www.econbiz.de/10009630302
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Production planning using evolving demand forecasts in the automotive industry
Yildiz, Hakan; DuHadway, Scott; Narasimhan, Ram; … - In: IEEE transactions on engineering management : EM 63 (2016) 3, pp. 296-304
Persistent link: https://www.econbiz.de/10011533049