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Forecasting substantial data revisions in the presence of model uncertainty
Garratt, Anthony (contributor); Koop, Gary (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003296265
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Forecasting substantial data revisions in the presence of model uncertainty
Garratt, Anthony (contributor); Koop, Gary (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003392033
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Estimation and forecasting of industrial production index
Ejaz, Muhammad; Iqbal, Javed - 2019
Persistent link: https://www.econbiz.de/10012385043
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Forecasting recessions : the puzzle of the enduring power of the Yield curve
Rudebusch, Glenn D. (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003722286
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Crowdsourcing of economic forecast : combination of combinations of individual forecasts using Bayesian model averaging
Rhee, Tae-hwan; Ryu, Keunkwan - In: Seoul journal of economics : SJE 34 (2021) 1, pp. 99-125
Persistent link: https://www.econbiz.de/10012619773
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A structural approach to combining external and DSGE model forecasts
Drautzburg, Thorsten - 2023
Persistent link: https://www.econbiz.de/10014308077
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Lasso-Type and Heuristic Strategies in Model Selection and Forecasting
Savin, Ivan - 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/10013099334
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Smooth regimes, macroeconomic variables, and bagging for the short-term interest rate process
Audrino, Francesco; Medeiros, Marcelo C. - 2008
Persistent link: https://www.econbiz.de/10003773443
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Frontiers of real-time data analysis
Croushore, Dean Darrell - 2008
Persistent link: https://www.econbiz.de/10003710189
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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