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Kombination künstlicher neuronaler Netze : zur Prognose von Wechselkursen
Richter, Frank - 2003 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001788032
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Predicting elections from the most important issue : a test of the take-the-best heuristic
Graefe, Andreas; Armstrong, Jon Scott - In: Journal of behavioral decision making 25 (2012) 1, pp. 41-48
Persistent link: https://www.econbiz.de/10009487832
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How good can heuristic-based forecasts be? : a comparative performance of econometric and heuristic models for UK and US asset returns
Guidolin, Massimo; Orlov, Alexei G.; Pedio, Manuela - In: Quantitative finance 18 (2018) 1, pp. 139-169
Persistent link: https://www.econbiz.de/10011905849
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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