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Stochastic model specification search for Gaussian and partial non-Gaussian state space models
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Cited by:
- Martin Iseringhausen & Hauke Vierke, 2019.
"What Drives Output Volatility? The Role of Demographics and Government Size Revisited,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 849-867, August.
- Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2016.
"Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR,"
Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 86-100.
- Dovern, Jonas & Feldkircher, Martin & Huber , Florian, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 0590, University of Heidelberg, Department of Economics.
- Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
- Pfarrhofer, Michael, 2023.
"Measuring International Uncertainty Using Global Vector Autoregressions with Drifting Parameters,"
Macroeconomic Dynamics, Cambridge University Press, vol. 27(3), pages 770-793, April.
- Pfarrhofer, Michael, 2019. "Measuring international uncertainty using global vector autoregressions with drifting parameters," Working Papers in Economics 2019-3, University of Salzburg.
- Michael Pfarrhofer, 2019. "Measuring international uncertainty using global vector autoregressions with drifting parameters," Papers 1908.06325, arXiv.org, revised Dec 2019.
- Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
- Miguel A.G. Belmonte & Gary Koop & Dimitris Korobilis, 2014.
"Hierarchical Shrinkage in Time‐Varying Parameter Models,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 80-94, January.
- Belmonte, Miguel A & Koop, Gary & Korobilis, Dimitris, 2011. "Hierarchical Shrinkage in Time-Varying Parameter Models," SIRE Discussion Papers 2012-68, Scottish Institute for Research in Economics (SIRE).
- BELMONTE, Miguel A.G. & KOOP, Gary & KOROBILIS, Dimitris, 2011. "Hierarchical shrinkage in time-varying parameter models," LIDAM Discussion Papers CORE 2011036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Miguel A. G. Belmonte & Gary Koop & Dimitris Korobilis, 2011. "Hierarchical Shrinkage in Time-Varying Parameter Models," Working Paper series 35_11, Rimini Centre for Economic Analysis.
- Miguel Belmonte & Gary Koop & Dimitris Korobilis, 2011. "Hierarchical Shrinkage in Time-Varying Parameter Models," Working Papers 1137, University of Strathclyde Business School, Department of Economics.
- Miguel, Belmonte & Gary, Koop & Dimitris, Korobilis, 2011. "Hierarchical shrinkage in time-varying parameter models," MPRA Paper 31827, University Library of Munich, Germany.
- Ivan Mendieta-Munoz & Mengheng Li, 2019.
"The Multivariate Simultaneous Unobserved Compenents Model and Identification via Heteroskedasticity,"
Working Paper Series, Department of Economics, University of Utah
2019_06, University of Utah, Department of Economics.
- Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
- Annalisa Cadonna & Sylvia Fruhwirth-Schnatter & Peter Knaus, 2019. "Triple the gamma -- A unifying shrinkage prior for variance and variable selection in sparse state space and TVP models," Papers 1912.03100, arXiv.org.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2019.
"Should I stay or should I go? A latent threshold approach to large‐scale mixture innovation models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 621-640, August.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Papers wuwp235, Vienna University of Economics and Business, Department of Economics.
- Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers 1607.04532, arXiv.org, revised Jul 2018.
- Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2018. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Working Papers in Economics 2018-5, University of Salzburg.
- Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Paper Series 235, WU Vienna University of Economics and Business.
- Wolfgang Brunauer & Stefan Lang & Nikolaus Umlauf, 2010. "Modeling House Prices using Multilevel Structured Additive Regression," Working Papers 2010-19, Faculty of Economics and Statistics, Universität Innsbruck.
- Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in dairy markets," Papers 2104.12707, arXiv.org.
- Everaert, Gerdie & Iseringhausen, Martin, 2018.
"Measuring the international dimension of output volatility,"
Journal of International Money and Finance, Elsevier, vol. 81(C), pages 20-39.
- Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
- Niaz Bashiri Behmiri & Maryam Ahmadi & Juha-Pekka Junttila & Matteo Manera, 2021.
"Financial Stress and Basis in Energy Markets,"
The Energy Journal, , vol. 42(5), pages 67-88, September.
- Niaz Bashiri Behmiri, Maryam Ahmadi, Juha-Pekka Junttila, and Matteo Manera, 2021. "Financial Stress and Basis in Energy Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
- Grassi, S. & Proietti, T., 2014.
"Characterising economic trends by Bayesian stochastic model specification search,"
Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 359-374.
- Grassi, Stefano & Proietti, Tommaso, 2010. "Characterizing economic trends by Bayesian stochastic model specifi cation search," MPRA Paper 22569, University Library of Munich, Germany.
- Stefano Grassi & Tommaso Proietti, 2011. "Characterizing economic trends by Bayesian stochastic model specification search," CREATES Research Papers 2011-16, Department of Economics and Business Economics, Aarhus University.
- Stefano Grassi & Tommaso Proietti, 2010. "Characterizing economic trends by Bayesian stochastic model specification search," EERI Research Paper Series EERI_RP_2010_25, Economics and Econometrics Research Institute (EERI), Brussels.
- Michael Pfarrhofer, 2024.
"Forecasts with Bayesian vector autoregressions under real time conditions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
- Michael Pfarrhofer, 2020. "Forecasts with Bayesian vector autoregressions under real time conditions," Papers 2004.04984, arXiv.org.
- Peter Knaus & Sylvia Fruhwirth-Schnatter, 2023. "The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models," Papers 2312.10487, arXiv.org.
- Korobilis, Dimitris & Koop, Gary, 2018.
"Variational Bayes inference in high-dimensional time-varying parameter models,"
Essex Finance Centre Working Papers
22665, University of Essex, Essex Business School.
- Koop, Gary & Korobilis, Dimitris, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," MPRA Paper 87972, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," Working Paper series 18-31, Rimini Centre for Economic Analysis.
- Blazej Mazur, 2015. "Density forecasts based on disaggregate data: nowcasting Polish inflation," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 71-87.
- Davidovic, Milivoje, 2021. "From pandemic to financial contagion: High-frequency risk metrics and Bayesian volatility analysis," Finance Research Letters, Elsevier, vol. 42(C).
- Martin Gachter & Elias Hasler & Florian Huber, 2023. "A tale of two tails: 130 years of growth-at-risk," Papers 2302.08920, arXiv.org.
- Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024.
"Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
- Chan, Joshua C.C. & Eisenstat, Eric & Strachan, Rodney W., 2020. "Reducing the state space dimension in a large TVP-VAR," Journal of Econometrics, Elsevier, vol. 218(1), pages 105-118.
- Marcio Laurini, 2011.
"Bayesian Factor Selection in Dynamic Term Structure Models,"
Economics Bulletin, AccessEcon, vol. 31(3), pages 2167-2176.
- Márcio Laurini, 2011. "Bayesian Factor Selection in Dynamic Term Structure Models," IBMEC RJ Economics Discussion Papers 2011-02, Economics Research Group, IBMEC Business School - Rio de Janeiro.
- Berger, Tino & Everaert, Gerdie & Vierke, Hauke, 2016.
"Testing for time variation in an unobserved components model for the U.S. economy,"
Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 179-208.
- Tino Berger & Gerdie Everaert & Hauke Vierke, 2015. "Testing for time variation in an unobserved components model for the U.S. economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/903, Ghent University, Faculty of Economics and Business Administration.
- Valeria V. Lakshina, 2014. "The Fluke Of Stochastic Volatility Versus Garch Inevitability : Which Model Creates Better Forecasts?," HSE Working papers WP BRP 37/FE/2014, National Research University Higher School of Economics.
- Eric Eisenstat & Joshua C. C. Chan & Rodney W. Strachan, 2016.
"Stochastic Model Specification Search for Time-Varying Parameter VARs,"
Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1638-1665, December.
- Eric Eisenstat & Joshua C.C. Chan & Rodney Strachan, 2014. "Stochastic Model Specification Search for Time-Varying Parameter VARs," Working Paper series 44_14, Rimini Centre for Economic Analysis.
- Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2014. "Stochastic Model Specification Search for Time-Varying Parameter VARs," CAMA Working Papers 2014-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Kalli, Maria & Griffin, Jim E., 2014. "Time-varying sparsity in dynamic regression models," Journal of Econometrics, Elsevier, vol. 178(2), pages 779-793.
- Benjamin Heuclin & Frédéric Mortier & Catherine Trottier & Marie Denis, 2021. "Bayesian varying coefficient model with selection: An application to functional mapping," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 24-50, January.
- Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024.
"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
- Christian Hotz‐Behofsits & Florian Huber & Thomas Otto Zörner, 2018.
"Predicting crypto‐currencies using sparse non‐Gaussian state space models,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 627-640, September.
- Christian Hotz-Behofsits & Florian Huber & Thomas O. Zorner, 2018. "Predicting crypto-currencies using sparse non-Gaussian state space models," Papers 1801.06373, arXiv.org, revised Feb 2018.
- Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
- Florian Huber & Daniel Kaufmann, 2020.
"Trend Fundamentals and Exchange Rate Dynamics,"
Economica, London School of Economics and Political Science, vol. 87(348), pages 1016-1036, October.
- Florian Huber & Daniel Kaufmann, 2015. "Trend Fundamentals and Exchange Rate Dynamics," KOF Working papers 15-393, KOF Swiss Economic Institute, ETH Zurich.
- Huber, Florian & Kaufmann, Daniel, 2016. "Trend Fundamentals and Exchange Rate Dynamics," Department of Economics Working Paper Series 214, WU Vienna University of Economics and Business.
- Florian Huber & Daniel Kaufmann, 2016. "Trend Fundamentals and Exchange Rate Dynamics," Department of Economics Working Papers wuwp214, Vienna University of Economics and Business, Department of Economics.
- Florian, Huber & Kaufmann, Daniel, 2019. "Trend Fundamentals and Exchange Rate Dynamics," Working Papers in Economics 2019-4, University of Salzburg.
- David Kohns & Arnab Bhattacharjee, 2020.
"Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model,"
Papers
2011.00938, arXiv.org, revised May 2022.
- Bhattacharjee, Arnab & Kohns, David, 2022. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," National Institute of Economic and Social Research (NIESR) Discussion Papers 538, National Institute of Economic and Social Research.
- Florian Huber & Tamás Krisztin & Philipp Piribauer, 2017.
"Forecasting Global Equity Indices Using Large Bayesian Vars,"
Bulletin of Economic Research, Wiley Blackwell, vol. 69(3), pages 288-308, July.
- Florian Huber & Tamas Krisztin & Philipp Piribauer, 2014. "Forecasting Global Equity Indices using Large Bayesian VARs," Department of Economics Working Papers wuwp184, Vienna University of Economics and Business, Department of Economics.
- Huber, Florian & Krisztin, Tamás & Piribauer, Philipp, 2014. "Forecasting Global Equity Indices Using Large Bayesian VARs," Department of Economics Working Paper Series 184, WU Vienna University of Economics and Business.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024.
"A note on the determinants of NFTs returns,"
Discussion Paper Series
2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Working Paper series 24-07, Rimini Centre for Economic Analysis.
- Massimo Ventrucci & Daniela Cocchi & Gemma Burgazzi & Alex Laini, 2020. "PC priors for residual correlation parameters in one-factor mixed models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 745-765, December.
- De Visscher, Stef & Eberhardt, Markus & Everaert, Gerdie, 2020. "Estimating and testing the multicountry endogenous growth model," Journal of International Economics, Elsevier, vol. 125(C).
- Joshua C.C. Chan & Rodney W. Strachan, 2023.
"Bayesian State Space Models In Macroeconometrics,"
Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
- Joshua C.C. Chan & Rodney W. Strachan, 2020. "Bayesian state space models in macroeconometrics," CAMA Working Papers 2020-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2023. "General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 69-87, January.
- Tommaso Proietti & Stefano Grassi, 2015.
"Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search,"
Empirical Economics, Springer, vol. 48(3), pages 983-1011, May.
- Grassi, Stefano & Proietti, Tommaso, 2011. "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," Working Papers 07/2011, University of Sydney Business School, Discipline of Business Analytics.
- Stefano Grassi & Tommaso Proietti, 2011. "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," CREATES Research Papers 2011-30, Department of Economics and Business Economics, Aarhus University.
- Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
- Milas, Costas & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2024.
"UK Foreign Direct Investment in uncertain economic times,"
Journal of International Money and Finance, Elsevier, vol. 147(C).
- Costas Milas & Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "UK Foreign Direct Investment in Uncertain Economic Times," Working Paper series 24-09, Rimini Centre for Economic Analysis.
- Costas Milas & Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "UK Foreign Direct Investment in Uncertain Economic Times," Discussion Paper Series 2024_04, Department of Economics, University of Macedonia, revised Apr 2024.
- Tino Berger & Lorenzo Pozzi, 2016. "Is there really a Global Business Cycle? A Dynamic Factor Model with Stochastic Factor Selection," Tinbergen Institute Discussion Papers 16-088/VI, Tinbergen Institute.
- Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
- Kastner, Gregor, 2019.
"Sparse Bayesian time-varying covariance estimation in many dimensions,"
Journal of Econometrics, Elsevier, vol. 210(1), pages 98-115.
- Gregor Kastner, 2016. "Sparse Bayesian time-varying covariance estimation in many dimensions," Papers 1608.08468, arXiv.org, revised Nov 2017.
- Gerdie Everaert & Lorenzo Pozzi & Ruben Schoonackers, 2017.
"On the Stability of the Excess Sensitivity of Aggregate Consumption Growth in the USA,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 819-840, June.
- Gerdie Everaert & Lorenzo Pozzi & Ruben Schoonackers, 2016. "On The Stability Of The Excess Sensitivity Of Aggregate Consumption Growth In The Us," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/917, Ghent University, Faculty of Economics and Business Administration.
- Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2024.
"A Bayesian approach for the determinants of bitcoin returns,"
International Review of Financial Analysis, Elsevier, vol. 91(C).
- Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
- Theodore Panagiotidis & Georgios Papapanagiotou & Thanasis Stengos, 2023. "A Bayesian approach for the determinants of bitcoin returns," Discussion Paper Series 2023_05, Department of Economics, University of Macedonia, revised May 2023.
- Korobilis, Dimitris, 2014.
"Data-based priors for vector autoregressions with drifting coefficients,"
SIRE Discussion Papers
2014-022, Scottish Institute for Research in Economics (SIRE).
- Dimitris Korobilis, 2014. "Data-based priors for vector autoregressions with drifting coefficients," Working Papers 2014_04, Business School - Economics, University of Glasgow.
- Korobilis, Dimitris, 2014. "Data-based priors for vector autoregressions with drifting coefficients," MPRA Paper 53772, University Library of Munich, Germany.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2020.
"Bayesian Modelling of TVP-VARs Using Regression Trees,"
Working Papers
2308, University of Strathclyde Business School, Department of Economics, revised Aug 2023.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2022. "Bayesian Modeling of TVP-VARs Using Regression Trees," Papers 2209.11970, arXiv.org, revised May 2023.
- Huber, Florian, 2014.
"Density Forecasting using Bayesian Global Vector Autoregressions with Common Stochastic Volatility,"
Department of Economics Working Paper Series
179, WU Vienna University of Economics and Business.
- Florian Huber, 2014. "Density Forecasting using Bayesian Global Vector Autoregressions with Common Stochastic Volatility," Department of Economics Working Papers wuwp179, Vienna University of Economics and Business, Department of Economics.
- Korobilis, D, 2017.
"Forecasting with many predictors using message passing algorithms,"
Essex Finance Centre Working Papers
19565, University of Essex, Essex Business School.
- Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
- Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
- Malin Gardberg & Lorenzo Pozzi, 2022.
"Aggregate consumption and wealth in the long run: The impact of financial liberalization,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 161-186, January.
- Gardberg, Malin, 2020. "Aggregate Consumption and Wealth in the Long Run: The Impact of Financial Liberalization," Working Paper Series 1339, Research Institute of Industrial Economics.
- Kastner, Gregor, 2016.
"Dealing with Stochastic Volatility in Time Series Using the R Package stochvol,"
Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i05).
- Gregor Kastner, 2019. "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol," Papers 1906.12134, arXiv.org.
- Kastner, Gregor & Frühwirth-Schnatter, Sylvia, 2014.
"Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models,"
Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 408-423.
- Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017. "Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models," Papers 1706.05280, arXiv.org.
- Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
- Tore Dubbert, 2022. "Stochastic debt sustainability analysis using time-varying fiscal reaction functions. An agnostic approach to fiscal forecasting," CQE Working Papers 10422, Center for Quantitative Economics (CQE), University of Muenster.
- Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
- Dimitris Korobilis, 2018.
"Machine Learning Macroeconometrics: A Primer,"
Working Paper series
18-30, Rimini Centre for Economic Analysis.
- Korobilis, Dimitris, 2018. "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers 22666, University of Essex, Essex Business School.
- Gerdie Everaert & Lorenzo Pozzi, 2022. "Encompassing measures of international consumption risk sharing and their link with trade and financial globalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 433-449, March.
- Dimitris Korobilis, 2021.
"High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
- Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Papers 2019_07, Business School - Economics, University of Glasgow.
- Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
- Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
- Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
- Niko Hauzenberger & Michael Pfarrhofer, 2021.
"Bayesian State‐Space Modeling for Analyzing Heterogeneous Network Effects of US Monetary Policy,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(4), pages 1261-1291, October.
- Pfarrhofer, Michael & Niko , Hauzenberger, 2019. "Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy," Working Papers in Economics 2019-6, University of Salzburg.
- Niko Hauzenberger & Michael Pfarrhofer, 2019. "Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy," Papers 1911.06206, arXiv.org, revised Sep 2020.
- Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
- Helmut Lutkepohl & Fei Shang & Luis Uzeda & Tomasz Wo'zniak, 2024.
"Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference,"
Papers
2404.11057, arXiv.org.
- Helmut Lütkepohl & Fei Shang & Luis Uzeda & Tomasz Woźniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Discussion Papers of DIW Berlin 2081, DIW Berlin, German Institute for Economic Research.
- Börger, Carina & Kempa, Bernd, 2024. "Real exchange rate convergence in the euro area: Evidence from a dynamic factor model," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 213-224.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023.
"Tail Forecasting With Multivariate Bayesian Additive Regression Trees,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
- Gregor Kastner & Florian Huber, 2020.
"Sparse Bayesian vector autoregressions in huge dimensions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1142-1165, November.
- Gregor Kastner & Florian Huber, 2017. "Sparse Bayesian vector autoregressions in huge dimensions," Papers 1704.03239, arXiv.org, revised Dec 2019.
- Gregor Kastner & Sylvia Fruhwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Papers 1602.08154, arXiv.org, revised Jul 2017.
- Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org.
- Berger, Tino & Everaert, Gerdie & Pozzi, Lorenzo, 2021. "Testing for international business cycles: A multilevel factor model with stochastic factor selection," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
- Lin Liu, 2022. "Economic Uncertainty and Exchange Market Pressure: Evidence From China," SAGE Open, , vol. 12(1), pages 21582440211, January.
- Valeriya V. Lakshina & Andrey M. Silaev, 2016. "Fluke of stochastic volatility versus GARCH inevitability or which model creates better forecasts?," Economics Bulletin, AccessEcon, vol. 36(4), pages 2368-2380.
- Sylvia Fruhwirth-Schnatter & Peter Knaus, 2022. "Sparse Bayesian State-Space and Time-Varying Parameter Models," Papers 2207.12147, arXiv.org.
- Liu, Wei-han, 2016. "A re-examination of maturity effect of energy futures price from the perspective of stochastic volatility," Energy Economics, Elsevier, vol. 56(C), pages 351-362.
- Wu, Frank C.Z., 2024. "A high-dimensional additive nonparametric model," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).
- Florian Huber & Michael Pfarrhofer & Philipp Piribauer, 2020.
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