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A hitchhiker guide to empirical macro models
Canova, Fabio; Ferroni, Filippo - 2020
Persistent link: https://www.econbiz.de/10012321243
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Density forecasts of inflation : a quantile regression forest approach
Lenza, Michele; Moutachaker, Ines; Paredes, Joan - 2023
Persistent link: https://www.econbiz.de/10014328189
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Bayesian neural networks for macroeconomic analysis
Hauzenberger, Niko; Huber, Florian; Klieber, Karin; … - 2024
Persistent link: https://www.econbiz.de/10015057285
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Forecasting US inflation using bayesian nonparametric models
Clark, Todd E.; Huber, Florian; Koop, Gary; Marcellino, … - 2023
Persistent link: https://www.econbiz.de/10014326677
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Capturing macroeconomic tail risks with bayesian vector autoregressions
Carriero, Andrea; Clark, Todd E.; Marcellino, Massimiliano - 2022
Persistent link: https://www.econbiz.de/10013286806
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Bayesian nonparametric methods for macroeconomic forecasting
Marcellino, Massimiliano; Pfarrhofer, Michael - 2024
Persistent link: https://www.econbiz.de/10014520837
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Estimating nonlinear heterogeneous agents models with neural networks
Kase, Hanno; Melosi, Leonardo; Rottner, Matthias - 2022
Persistent link: https://www.econbiz.de/10013263361
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Tail forecasting with multivariate bayesian additive regression trees
Clark, Todd E.; Huber, Florian; Koop, Gary; Marcellino, … - 2022
Persistent link: https://www.econbiz.de/10013281184
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Nowcasting with large Bayesian vector autoregressions
Cimadomo, Jacopo; Giannone, Domenico; Lenza, Michele; … - 2021
Persistent link: https://www.econbiz.de/10012484579
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Addressing Covid-19 outliers in bvars with stochastic volatility
Marcellino, Massimiliano; Clark, Todd E.; Carriero, Andrea - 2021
Persistent link: https://www.econbiz.de/10012495968