Niko Hauzenberger
Niko Hauzenberger
Bestätigte E-Mail-Adresse bei sbg.ac.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models
N Hauzenberger, F Huber, G Koop, L Onorante
arXiv preprint arXiv:1910.10779, 2019
32019
Implications of Macroeconomic Volatility in the Euro Area
N Hauzenberger, M Böck, M Pfarrhofer, A Stelzer, G Zens
arXiv preprint arXiv:1801.02925, 2018
32018
Model instability in predictive exchange rate regressions
N Hauzenberger, F Huber
Journal of Forecasting, 2019
22019
Stochastic model specification in Markov switching vector error correction models
N Hauzenberger, F Huber, M Pfarrhofer, TO Zörner
arXiv preprint arXiv:1807.00529, 2018
22018
Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods
N Hauzenberger, F Huber, G Koop
arXiv preprint arXiv:2005.03906, 2020
12020
How useful are time-varying parameter models for forecasting economic growth in CESEE?
M Feldkircher, N Hauzenberger
Focus on European Economic Integration, 29-48, 2019
12019
Capital Flows and the Stabilizing Role of Macroprudential Policies in CESEE
M Eller, N Hauzenberger, F Huber, H Schuberth, L Vashold
arXiv preprint arXiv:2009.06391, 2020
2020
Flexible Mixture Priors for Time-varying Parameter Models
N Hauzenberger
arXiv preprint arXiv:2006.10088, 2020
2020
Stochastic model specification in Markov switching vector error correction models
N Hauzenberger, F Huber, M Pfarrhofer, TO Zörner
Studies in Nonlinear Dynamics & Econometrics, 2020
2020
Combining Shrinkage and Sparsity in Conjugate Vector Autoregressive Models
N Hauzenberger, F Huber, L Onorante
arXiv preprint arXiv:2002.08760, 2020
2020
Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy
N Hauzenberger, M Pfarrhofer
arXiv preprint arXiv:1911.06206, 2019
2019
1. Aktuelle Entwicklung der Weltwirtschaft und des Welthandels
N Hauzenberger, J Wörz, A Knollmayer
Schwerpunkt Außenwirtschaft 2017/2018, 29, 0
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