Bayesian Time-varying Parameter Models
Bayesian Time-Varying Parameter Models is a statistical modeling framework within Bayesian time series analysis that characterizes dynamic systems by treating model parameters as stochastic processes evolving over time according to specified prior distributions and updating them sequentially via posterior inference.
87
Publications
5K
Citations
187
Authors
136
Institutions
Publications per year
2017–2026
31
Variants
Bayesian Tvp Models
87
Predictive regressions with time-varying coefficients
Thomas Dangl, Michael Halling · Journal of Financial Economics · 2012 · 585 citations · Full text
Social Sciences, Economics, Finance +16
Bayesian Analysis of Time Series and Dynamic Models
Michael E. Welch · Technometrics · 1990 · 232 citations
1–5 of 87
187
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Vienna University of Economics and Business, Austria
3 publications · 202 citations
3
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1–5 of 187
136
European Central Bank
Frankfurt am Main, Germany
5 h-index
5 publications
183 citations
Duke University
Durham, United States
4 h-index
4 publications
371 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
336 citations
Vienna University of Economics and Business
Vienna, Austria
3 h-index
6 publications
404 citations

University of Strathclyde
Glasgow, United Kingdom
3 h-index
4 publications
361 citations
Centre for Economic Policy Research
London, United Kingdom
3 h-index
3 publications
143 citations

TU Wien
Vienna, Austria
3 h-index
3 publications
747 citations

National Bureau of Economic Research
Cambridge, United States
3 h-index
3 publications
143 citations
1–8 of 136
Repository · 12 publications · 590 citations
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7 publications · 702 citations
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JBES · 5 publications · 231 citations
5
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3 publications · 153 citations
3
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CSDA · 3 publications · 60 citations
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