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Bayesian dynamic variable selection in high dimensions
Koop, Gary; Korobilis, Dimitris - 2020
Persistent link: https://www.econbiz.de/10012660863
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Texas Service Sector Outlook Survey : survey methodology and performance
Cañas, Jesús; Jordan, Amy - 2018
The Texas Service Sector Outlook Survey (TSSOS) and Texas Retail Outlook Survey (TROS) are monthly surveys of service … services sector, including general service businesses, retailers and wholesalers. The surveys provide invaluable information on … monthly variation in Texas employment. In addition, most TSSOS and TROS indexes are also useful in forecasting Texas …
Persistent link: https://www.econbiz.de/10012029974
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Building performance in the context of industry pressures
Robertson, Craig; Mumovic, Dejan - In: International journal of energy sector management : IJESM 8 (2014) 4, pp. 527-543
Persistent link: https://www.econbiz.de/10010462646
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Using time-stamped survey responses to measure expectations at a daily frequency
Mokinski, Frieder - In: International journal of forecasting 32 (2016) 2, pp. 271-282
Persistent link: https://www.econbiz.de/10011596746
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Fiscal data revisions in Europe
Castro, Francisco de; Pérez, Javier J.; Rodríguez … - In: Journal of money, credit and banking : JMCB 45 (2013) 6, pp. 1187-1209
Persistent link: https://www.econbiz.de/10010197518
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Forecasting the unemployment rate : application of selected prediction methods
Gostkowski, Michał; Rokicki, Tomasz - In: European research studies 24 (2021) 3, pp. 985-1000
Persistent link: https://www.econbiz.de/10012664705
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Forecasting urea prices
Kim, Seon-Woong; Brorsen, B. Wade - In: Applied economics 49 (2017) 49, pp. 4970-4981
Persistent link: https://www.econbiz.de/10011844843
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A wavelet smoothing method to improve conditional sales forecasting
Michis, Antonis A. - In: Journal of the Operational Research Society : OR 66 (2015) 5, pp. 832-844
Persistent link: https://www.econbiz.de/10011302282
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A better measure of relative prediction accuracy for model selection and model estimation
Tofallis, Christopher - In: Journal of the Operational Research Society : OR 66 (2015) 8, pp. 1352-1362
Persistent link: https://www.econbiz.de/10011417204
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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-series models. We assume that both the number of covariates in the model and the number of candidate variables can increase with the sample size (polynomially or geometrically). In other...
Persistent link: https://www.econbiz.de/10010505038