Choosing Prior Hyperparameters: With Applications To Time-Varying Parameter Models
Citations
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Cited by:
- Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2021.
"The interplay between oil and food commodity prices: Has it changed over time?,"
Journal of International Economics, Elsevier, vol. 133(C).
- Gert Peersman & Sebastian K. Rüth & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," CESifo Working Paper Series 7826, CESifo.
- Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2019. "The interplay between oil and food commodity prices: Has It changed over time?," Working Papers 0665, University of Heidelberg, Department of Economics.
- Gert Peersman & Sebastian K. R th & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/978, Ghent University, Faculty of Economics and Business Administration.
- Goodness C. Aye & Prosper E. Edoja & Sarah Enwa & Rangan Gupta & Emmanuel Eshoforen, 2024. "Role of Inflation and Exchange Rates in Shaping the Country's Food Security Landscape: Nigeria's Food Price Puzzle," Working Papers 202430, University of Pretoria, Department of Economics.
- Wenting Liao & Jun Ma & Chengsi Zhang, 2023. "Identifying exchange rate effects and spillovers of US monetary policy shocks in the presence of time‐varying instrument relevance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 989-1006, November.
- Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Pooyan Amir‐Ahmadi & Christian Matthes & Mu‐Chun Wang, 2026. "High‐Frequency Instruments With Time‐Varying Reliability: Understanding Identification in Macroeconomics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 41(5), pages 539-548, August.
- Haroon Mumtaz & Katerina Petrova, 2023.
"Changing Impact of Shocks: A Time‐Varying Proxy SVAR Approach,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 635-654, March.
- Haroon Mumtaz & Katerina Petrova, 2018. "Changing impact of shocks: a time-varying proxy SVAR approach," Working Papers 875, Queen Mary University of London, School of Economics and Finance.
- Jonas E. Arias & Juan F. Rubio-Ram'irez & Daniel Rudolf & Minchul Shin, 2025. "Large SVARs," Papers 2505.23542, arXiv.org, revised Apr 2026.
- Joshua C. C. Chan, 2024.
"BVARs and stochastic volatility,"
Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 3, pages 43-67,
Edward Elgar Publishing.
- Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
- Jamie L. Cross & Aubrey Poon, 2020. "On the contribution of international shocks in Australian business cycle fluctuations," Empirical Economics, Springer, vol. 59(6), pages 2613-2637, December.
- Jin-Seong Choi & So-Won Choi & Eul-Bum Lee, 2023. "Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data," Sustainability, MDPI, vol. 15(9), pages 1-28, May.
- Chan, Joshua C.C., 2023.
"Comparing stochastic volatility specifications for large Bayesian VARs,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
- Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
- Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
- Markus Heinrich & Magnus Reif, 2025.
"Real‐Time Forecasting Using Mixed‐Frequency VARs With Time‐Varying Parameters,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(7), pages 2055-2066, November.
- Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
- Goulet Coulombe, Philippe, 2025. "Time-varying parameters as ridge regressions," International Journal of Forecasting, Elsevier, vol. 41(3), pages 982-1002.
- Jan Prüser & Alexander Schlösser, 2020. "The effects of economic policy uncertainty on European economies: evidence from a TVP-FAVAR," Empirical Economics, Springer, vol. 58(6), pages 2889-2910, June.
- Gabriel Arce‐Alfaro & Boris Blagov, 2023. "Monetary Policy Uncertainty and Inflation Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 70-94, February.
- Prüser, Jan & Schlösser, Alexander, 2018. "On the time-varying effects of economic policy uncertainty on the US economy," Ruhr Economic Papers 761, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023.
"Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Macroeconomic Forecasting and Variable Ordering in Multivariate Stochastic Volatility Models," Working Papers 21-21, Federal Reserve Bank of Philadelphia.
- Dimitris Korobilis, 2025.
"Learning from crises: A new class of time-varying parameter VARs with observable adaptation,"
Working Papers
No 09/2025, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Nicolas Hardy & Dimitris Korobilis, 2025. "Learning from crises: A new class of time-varying parameter VARs with observable adaptation," Papers 2512.03763, arXiv.org.
- Nicolas Hardy & Dimitris Korobilis, 2025. "Learning from crises: A new class of time-varying parameter VARs with observable adaptation," Working Papers 2025_12, Business School - Economics, University of Glasgow.
- Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, September.
- Gary Koop & Dimitris Korobilis, 2023.
"Bayesian Dynamic Variable Selection In High Dimensions,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
- Gary Koop & Dimitris Korobilis, 2018. "Bayesian dynamic variable selection in high dimensions," Papers 1809.03031, arXiv.org, revised May 2020.
- Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
- Han, Yang & Liao, Wenting & Xiong, Rui, 2025. "The time-varying effects of skewness on the macroeconomy," Economics Letters, Elsevier, vol. 254(C).
- Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2025. "A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs," Working Papers 25-19, Federal Reserve Bank of Philadelphia.
- 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.
- Philippe Goulet Coulombe, 2024.
"The macroeconomy as a random forest,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 401-421, April.
- Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
- Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Hartwig, Benny, 2020.
"Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model,"
Discussion Papers
34/2020, Deutsche Bundesbank.
- Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
- Chan, Joshua C.C. & Yu, Xuewen & Zhang, Wei, 2026. "Bayesian model comparison for large Bayesian VARs after the COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 256(PB).
- Chan, Joshua C.C., 2021.
"Minnesota-type adaptive hierarchical priors for large Bayesian VARs,"
International Journal of Forecasting, Elsevier, vol. 37(3), pages 1212-1226.
- Joshua C. C. Chan, 2019. "Minnesota-Type Adaptive Hierarchical Priors for Large Bayesian VARs," CAMA Working Papers 2019-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Korobilis, Dimitris & Landau, Bettina & Musso, Alberto & Phella, Anthoulla, 2021. "The time-varying evolution of inflation risks," Working Paper Series 2600, European Central Bank.
- Pooyan Amir-Ahmadi & Marko Mlikota & Dalibor Stevanovi'c, 2025. "Origins and Nature of Macroeconomic Instability in Vector Autoregressions," Papers 2512.20152, arXiv.org.
- Jacobi Liana & Kwok Chun Fung & Ramírez-Hassan Andrés & Nghiem Nhung, 2024. "Posterior Manifolds over Prior Parameter Regions: Beyond Pointwise Sensitivity Assessments for Posterior Statistics from MCMC Inference," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 403-434, April.
- So-Won Choi & Eul-Bum Lee, 2022. "Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology," Sustainability, MDPI, vol. 14(11), pages 1-32, June.
- Daniel Gründler, 2026. "Inflation expectations and time variations in the oil price pass‐through," Economic Inquiry, Western Economic Association International, vol. 64(2), pages 663-680, April.
- Amir Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2026. "High-frequency instruments with time-varying reliability: Understanding identification in macroeconomics," Discussion Papers 08/2026, Deutsche Bundesbank.
- Su Jin Choi & So Won Choi & Jong Hyun Kim & Eul-Bum Lee, 2021. "AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects," Energies, MDPI, vol. 14(15), pages 1-28, July.
- Philippe Goulet Coulombe, 2020. "Time-Varying Parameters as Ridge Regressions," Papers 2009.00401, arXiv.org, revised Nov 2024.
- Celani, Alessandro & Pedini, Luca, 2025. "Moderate Time-Varying Parameter VARs," Working Papers 2025:16, Örebro University, School of Business.
- Huachen Li, 2023. "The Time‐Varying Response of Hours Worked to a Productivity Shock," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(7), pages 1907-1935, October.
- Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Monetary policy uncertainty and inflation expectations," Ruhr Economic Papers 899, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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