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L1-regularization of high-dimensional time-series models with flexible innovations
Medeiros, Marcelo C.; Mendes, Eduardo F. - 2015
We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time …
Persistent link: https://www.econbiz.de/10010505038
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L1-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors
Medeiros, Marcelo C.; Mendes, Eduardo F. - In: Journal of econometrics 191 (2016) 1, pp. 255-271
Persistent link: https://www.econbiz.de/10011598121
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LASSO-type penalties for covariate selection and forecasting in time series
Konzen, Evandro; Ziegelmann, Flávio A. - In: Journal of forecasting 35 (2016) 7, pp. 592-612
Persistent link: https://www.econbiz.de/10011610065
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Tactical sales forecasting using a very large set of macroeconomic indicators
Sagaert, Yves R.; Aghezzaf, El-Houssaine; Kourentzes, … - In: European journal of operational research : EJOR 264 (2018) 2, pp. 558-569
Persistent link: https://www.econbiz.de/10011801845
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A comparison of variables selection methods and their sequential application : a case study of the bankruptcy of Polish companies
Zanka, Mikhail - In: Folia oeconomica Stetinensia : FOS 20 (2020) 1, pp. 531-543
Persistent link: https://www.econbiz.de/10012628055
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Forecasting crude oil prices with a large set of predictors : Can LASSO select powerful predictors?
Zhang, Yaojie; Ma, Feng; Wang, Yudong - In: Journal of empirical finance 54 (2019), pp. 97-117
Persistent link: https://www.econbiz.de/10012174816
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Predicting product return volume using machine learning methods
Cui, Hailong; Rajagopalan, Sampath; Ward, Amy R. - In: European journal of operational research : EJOR 281 (2020) 3, pp. 612-627
Persistent link: https://www.econbiz.de/10012157401
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Day-ahead electricity price forecasting with high-dimensional structures : univariate vs. multivariate modeling frameworks
Ziel, Florian; Weron, Rafał - In: Energy economics 70 (2018), pp. 396-420
Persistent link: https://www.econbiz.de/10011942844
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Sparse structures with LASSO through principal components : forecasting GDP components in the short-run
Jokubaitis, Saulius; Celov, Dmitrij; Leipus, Remigijus - In: International journal of forecasting 37 (2021) 2, pp. 759-776
Persistent link: https://www.econbiz.de/10012792868
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Understanding intraday electricity markets : variable selection and very short-term price forecasting using LASSO
Uniejewski, Bartosz; Marcjasz, Grzegorz; Weron, Rafał - In: International journal of forecasting 35 (2019) 4, pp. 1533-1547
Persistent link: https://www.econbiz.de/10012305384