Artykuły udostępnione publicznie: - Florian HuberWięcej informacji
Dostępne w jakimś miejscu: 39
Inducing Sparsity and Shrinkage in Time-Varying Parameter Models
F Huber, G Koop, L Onorante
Journal of Business & Economic Statistics, 2020
Upoważnienia: Austrian Science Fund
Nowcasting in a pandemic using non-parametric mixed frequency VARs
F Huber, G Koop, L Onorante, M Pfarrhofer, J Schreiner
Journal of Econometrics 232 (1), 52-69, 2023
Upoważnienia: Austrian Science Fund
Sparse Bayesian vector autoregressions in huge dimensions
G Kastner, F Huber
Journal of Forecasting 39 (7), 1142-1165, 2020
Upoważnienia: Austrian Science Fund
Spillovers from US monetary policy: evidence from a time varying parameter global vector auto-regressive model
J Crespo Cuaresma, G Doppelhofer, M Feldkircher, F Huber
Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019
Upoważnienia: US National Science Foundation
Measuring the effectiveness of US monetary policy during the COVID‐19 recession
M Feldkircher, F Huber, M Pfarrhofer
Scottish journal of political economy 68 (3), 287-297, 2021
Upoważnienia: Austrian Science Fund
Tail forecasting with multivariate Bayesian additive regression trees
TE Clark, F Huber, G Koop, M Marcellino, M Pfarrhofer
International Economic Review 64 (3), 979-1022, 2023
Upoważnienia: Austrian Science Fund
International effects of a compression of euro area yield curves
M Feldkircher, T Gruber, F Huber
Journal of Banking & Finance 113, 105533, 2020
Upoważnienia: Austrian Science Fund
Factor Augmented vector autoregressions, panel VARs, and global VARs
M Feldkircher, F Huber, M Pfarrhofer
Macroeconomic Forecasting in the Era of Big Data: Theory and Practice, 65-93, 2020
Upoważnienia: Austrian Science Fund
Fragility and the effect of international uncertainty shocks
JC Cuaresma, F Huber, L Onorante
Journal of International Money and Finance 108, 102151, 2020
Upoważnienia: Research Council of Lithuania
Real-time inflation forecasting using non-linear dimension reduction techniques
N Hauzenberger, F Huber, K Klieber
International Journal of Forecasting 39 (2), 901-921, 2023
Upoważnienia: Austrian Science Fund
Inference in Bayesian additive vector autoregressive tree models
F Huber, L Rossini
The Annals of Applied Statistics 16 (1), 104-123, 2022
Upoważnienia: Austrian Science Fund
Fast and flexible Bayesian inference in time-varying parameter regression models
N Hauzenberger, F Huber, G Koop, L Onorante
Journal of Business & Economic Statistics 40 (4), 1904-1918, 2022
Upoważnienia: Austrian Science Fund
Bayesian forecasting in economics and finance: A modern review
GM Martin, DT Frazier, W Maneesoonthorn, R Loaiza-Maya, F Huber, ...
International Journal of Forecasting 40 (2), 811-839, 2024
Upoważnienia: Austrian Science Fund
Investigating growth-at-risk using a multicountry nonparametric quantile factor model
TE Clark, F Huber, G Koop, M Marcellino, M Pfarrhofer
Journal of Business & Economic Statistics 42 (4), 1302-1317, 2024
Upoważnienia: Austrian Science Fund
The regional transmission of uncertainty shocks on income inequality in the United States
MM Fischer, F Huber, M Pfarrhofer
Journal of Economic Behavior & Organization 183, 887-900, 2021
Upoważnienia: Austrian Science Fund
Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian vector autoregressions?
M Feldkircher, L Gruber, F Huber, G Kastner
Journal of Forecasting 43 (6), 2126-2145, 2024
Upoważnienia: Austrian Science Fund
Approximate Bayesian inference and forecasting in huge‐dimensional multicountry VARs
M Feldkircher, F Huber, G Koop, M Pfarrhofer
International Economic Review, 2022
Upoważnienia: Austrian Science Fund
Forecasting inflation using Bayesian nonparametric methods
TE Clark, F Huber, G Koop, M Marcellino
Annals of Applied Statistics, 1-38, 2023
Upoważnienia: Austrian Science Fund
Gaussian process vector autoregressions and macroeconomic uncertainty
N Hauzenberger, F Huber, M Marcellino, N Petz
Journal of Business & Economic Statistics 43 (1), 27-43, 2025
Upoważnienia: Austrian Science Fund
Dynamic shrinkage in time‐varying parameter stochastic volatility in mean models
F Huber, M Pfarrhofer
Journal of Applied Econometrics 36 (2), 262-270, 2021
Upoważnienia: Austrian Science Fund
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