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Government statistics : e-commerce and the electronic economy ; this paper was prepared for presentation to the Federal Economic Statistics Advisory Committee (FESAC), June 15, 200...
Fraumeni, Barbara M.; Manser, Marilyn E.; Mesenbourg, … - 2000
Persistent link: https://www.econbiz.de/10001713592
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Federal statistics ; 1
1971
Persistent link: https://www.econbiz.de/10012265504
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CME iceberg order detection and prediction
Zotikov, Dmitry; Antonov, Anton - In: Quantitative finance 21 (2021) 11, pp. 1977-1992
Persistent link: https://www.econbiz.de/10012696802
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It takes two to tango : statistical modeling and machine learning
Kumar, Vikas; Vannan, Mani - In: Journal of global scholars of marketing science : … 31 (2021) 3, pp. 296-317
Persistent link: https://www.econbiz.de/10012549084
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Modeling risk : applying Monte Carlo risk simulation, strategic real options, stochastic forecasting, and portfolio optimization
Mun, Jonathan - 2010 - 2nd ed (Online-Ausg.)
-- Chapter 2: From Risk to Riches -- TAMING THE BEAST -- THE BASICS OF RISK -- THE NATURE OF RISK AND RETURN -- THE STATISTICS OF …
Persistent link: https://www.econbiz.de/10012678612
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The influence of the accuracy of statistical data on the results of a classification of EU countries in terms of innovation
Stec, Małgorzata - In: Folia oeconomica Stetinensia : FOS 20 (2020) 1, pp. 408-420
Persistent link: https://www.econbiz.de/10012628006
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Pricing and Forecasting Carbon Markets : Models and Empirical Analyses
Zhu, Bangzhu - 2017
This book applies the multidisciplinary approaches of econometrics, statistics, finance and artificial intelligence for …
Persistent link: https://www.econbiz.de/10012398273
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On the predictability of the equity premium using deep learning techniques
Iworiso, Jonathan; Vrontos, Spyridon - In: The journal of financial data science 3 (2021) 1, pp. 74-92
Persistent link: https://www.econbiz.de/10012486254
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A new approach for detecting shifts in forecast accuracy
Chiu, Ching Wai Jeremy; Hayes, Simon; Kapetanios, George; … - In: International journal of forecasting 35 (2019) 4, pp. 1596-1612
Persistent link: https://www.econbiz.de/10012305469