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~isPartOf:"Discussion papers / CEPR"
~isPartOf:"Federal Reserve Bank of Cleveland working paper series"
~person:"Huber, Florian"
~person:"Kaufmann, Daniel"
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Tail forecasting with multivariate Bayesian additive regression trees
Clark, Todd E.
;
Huber, Florian
;
Koop, Gary
;
Marcellino, …
-
2021
Persistent link: https://www.econbiz.de/10012489943
Saved in:
2
Forecasting US inflation using Bayesian nonparametric models
Clark, Todd E.
;
Huber, Florian
;
Koop, Gary
;
Marcellino, …
-
2022
Persistent link: https://www.econbiz.de/10013277506
Saved in:
3
Bayesian modeling of time-varying parameters using regression trees
Hauzenberger, Niko
;
Huber, Florian
;
Koop, Gary
; …
-
2023
Persistent link: https://www.econbiz.de/10014295302
Saved in:
4
Predictive density combination using a tree-based synthesis function
Chernis, Tony
;
Hauzenberger, Niko
;
Huber, Florian
; …
-
2023
Persistent link: https://www.econbiz.de/10014440961
Saved in:
5
Bayesian neural networks for macroeconomic analysis
Hauzenberger, Niko
;
Huber, Florian
;
Klieber, Karin
; …
-
2024
Persistent link: https://www.econbiz.de/10015057285
Saved in:
6
Forecasting US inflation using bayesian nonparametric models
Clark, Todd E.
;
Huber, Florian
;
Koop, Gary
;
Marcellino, …
-
2023
Persistent link: https://www.econbiz.de/10014326677
Saved in:
7
Risky oil : it's all in the tails
Baumeister, Christiane
;
Huber, Florian
;
Marcellino, …
-
2024
Persistent link: https://www.econbiz.de/10014537272
Saved in:
8
Investigating growth-at-risk using a multicountry non-parametric quantile factor model
Clark, Todd E.
;
Huber, Florian
;
Koop, Gary
;
Marcellino, …
-
2023
Persistent link: https://www.econbiz.de/10014384414
Saved in:
9
Gaussian process vector autoregressions and macroeconomic uncertainty
Hauzenberger, Niko
;
Huber, Florian
;
Marcellino, Massimiliano
-
2022
Persistent link: https://www.econbiz.de/10013426600
Saved in:
10
Tail forecasting with multivariate bayesian additive regression trees
Clark, Todd E.
;
Huber, Florian
;
Koop, Gary
;
Marcellino, …
-
2022
Persistent link: https://www.econbiz.de/10013281184
Saved in:
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