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Composite likelihood methods for large Bayesian VARs with stochastic volatility
Chan, Joshua; Eisenstat, Eric; Hou, Chenghan; Koop, Gary - 2018
Persistent link: https://www.econbiz.de/10012202274
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Stochastic volatility models with ARMA innovations : an application to G7 inflation forecasts
Zhang, Bo; Chan, Joshua; Cross, Jamie L. - 2018
Persistent link: https://www.econbiz.de/10012202537
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Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation
Chan, Joshua; Jacobi, Liana; Zhu, Dan - 2019
Persistent link: https://www.econbiz.de/10012224001
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Asymmetric conjugate priors for large Bayesian VARs
Chan, Joshua - 2019
Persistent link: https://www.econbiz.de/10012224053
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Minnesota-type adaptive hierarchical priors for large Bayesian VARs
Chan, Joshua - 2019
Persistent link: https://www.econbiz.de/10012224435
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Forecasting energy commodity prices : a large global dataset sparse approach
Ferrari, Davide; Ravazzolo, Francesco; Vespignani, Joaquin - 2019
Persistent link: https://www.econbiz.de/10012224686
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Common factors and the dynamics of cereal prices : a forecasting perspective
Kwas, Marek; Paccagnini, Alessia; Rubaszek, Michal - 2020
Persistent link: https://www.econbiz.de/10012225217
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A state space approach to evaluate multi-horizon forecasts
Goodwin, Thomas; Tian, Jing - 2017
Persistent link: https://www.econbiz.de/10011746840
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Time-varying trend models for forecasting inflation in Australia
Guo, Na; Zhang, Bo; Cross, Jamie - 2020
Persistent link: https://www.econbiz.de/10012534328
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How sensitive are VAR forecasts to prior hyperparameters? : an automated sensitivity analysis
Chan, Joshua; Jacobi, Liana; Zhu, Dan - 2018
Persistent link: https://www.econbiz.de/10012202254