Bayesian Garch Models
Bayesian GARCH Models is a statistical modeling framework within econometrics that integrates Bayesian inference methods with Generalized Autoregressive Conditional Heteroskedasticity (GARCH) structures to estimate time-varying volatility parameters through prior distributions and posterior updating.
130
Publications
10.5K
Citations
211
Authors
152
Institutions
Publications per year
2017–2026
40
Parents
130
Predictive regressions with time-varying coefficients
Thomas Dangl, Michael Halling · Journal of Financial Economics · 2012 · 585 citations · Full text
Social Sciences, Economics, Finance +16
An Introduction to Bayesian Inference in Econometrics
I. J. Good · Technometrics · 1975 · 453 citations
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152
Feng Chia University
Taichung, Taiwan
8 h-index
14 publications
412 citations
UCLouvain
Louvain-la-Neuve, Belgium
6 h-index
10 publications
428 citations

TU Wien
Vienna, Austria
4 h-index
4 publications
757 citations
University of Fribourg
Fribourg, Switzerland
4 h-index
5 publications
207 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
4 h-index
5 publications
172 citations
European Central Bank
Frankfurt am Main, Germany
4 h-index
4 publications
66 citations
HEC Montréal
Montreal, Canada
4 h-index
4 publications
1K citations
Center for Interuniversity Research and Analysis on Organizations
Montreal, Canada
4 h-index
4 publications
764 citations
1–8 of 152
9 publications · 1.3K citations
9
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Repository · 9 publications · 295 citations
9
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JBES · 4 publications · 353 citations
4
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4 publications · 1.8K citations
4
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CSDA · 3 publications · 108 citations
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