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The recursive prediction error learning : an alternative to least square learning
Chang, M. C.; Chu, C. Y. Cyrus; Lin, Kenneth S. - 1991
Persistent link: https://www.econbiz.de/10000136356
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Predictive regression with order-p autoregressive predictors
Amihud, Yakov; Hurvich, Clifford M.; Wang, Yi - In: Journal of empirical finance 17 (2010) 3, pp. 513-525
Persistent link: https://www.econbiz.de/10009267284
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Local polynomial regressions versus OLS for generating location value estimates : which is more efficient in out-of-sample forecasts?
Cohen, Jeffrey P.; Coughlin, Cletus Charles; Clapp, John M. - 2015
Persistent link: https://www.econbiz.de/10011346780
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The three-pass regression filter : a new approach to forecasting using many predictors
Kelly, Bryan T.; Pruitt, Seth - In: Journal of econometrics 186 (2015) 2, pp. 294-316
Persistent link: https://www.econbiz.de/10011349476
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The elephant in the room : predictive performance of PLS models
Shmueli, Galit; Ray, Soumya; Velasquez Estrada, Juan Manuel - In: Journal of business research : JBR 69 (2016) 10, pp. 4552-4564
Persistent link: https://www.econbiz.de/10011554710
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Assessing the predictive performance of structural equation model estimators
Evermann, Joerg; Tate, Mary - In: Journal of business research : JBR 69 (2016) 10, pp. 4565-4582
Persistent link: https://www.econbiz.de/10011554711
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Empirical mode decomposition-based least squares support vector regression for foreign exchange rate forecasting
Lin, Chiun-sin; Chiu, Sheng-hsiung; Lin, Tzu-yu - In: Economic modelling 29 (2012) 6, pp. 2583-2590
Persistent link: https://www.econbiz.de/10009673658
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Improved forecasting of autoregressive series by weighted least squares approximate REML estimation: comment
Rodriguez, Paulo M. M. - In: International journal of forecasting 28 (2012) 1, pp. 44-45
Persistent link: https://www.econbiz.de/10009581417
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Easy, reliable method for mid-term demand forecasting based on the Bass model : a hybrid approach of NLS and OLS
Hong, Jungsik; Koo, Hoonyoung; Kim, Taegu - In: European journal of operational research : EJOR 248 (2016) 2, pp. 681-690
Persistent link: https://www.econbiz.de/10011409746
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Forecasting 1 to h steps ahead using partial least squares
Franses, Philip Hans (contributor) - 2006
Persistent link: https://www.econbiz.de/10003391325