| 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 | 3 | 2019 |
| Implications of Macroeconomic Volatility in the Euro Area N Hauzenberger, M Böck, M Pfarrhofer, A Stelzer, G Zens arXiv preprint arXiv:1801.02925, 2018 | 3 | 2018 |
| 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 | 1 | 2020 |
| Model instability in predictive exchange rate regressions N Hauzenberger, F Huber Journal of Forecasting, 2019 | 1 | 2019 |
| 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 | 1 | 2019 |
| 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 | | |
