Bayesian Regime Switching Models
Bayesian Regime Switching Models is a statistical framework within time series analysis that combines state-space modeling with Bayesian inference to capture structural changes in dynamics over time, where discrete latent regimes govern parameter shifts according to a Markov process.
34
Publications
1.5K
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74
Authors
65
Institutions
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2017–2026
7
Variants
Bayesian Markov-switching Models
34
Good Times or Bad Times? Investors' Uncertainty and Stock Returns
Arzu Ozoguz · Review of Financial Studies · 2008 · 181 citations
Is Regime Switching in Stock Returns Important in Portfolio Decisions?
Jun Tu · Management Science · 2010 · 122 citations · Full text
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National University Health System
Singapore, Singapore
2 h-index
10 publications
170 citations
Singapore Management University
Singapore, Singapore
2 h-index
2 publications
132 citations
National University of Singapore
Singapore, Singapore
2 h-index
10 publications
170 citations

Federal Reserve Bank of Kansas City
Kansas City, United States
2 h-index
4 publications
264 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
221 citations
Center for Interuniversity Research and Analysis on Organizations
Montreal, Canada
2 h-index
2 publications
71 citations

Federal Reserve Bank of St. Louis
St Louis, United States
1 h-index
2 publications
48 citations
Cerro Tololo Inter-American Observatory
La Serena, Chile
1 h-index
1 publications
35 citations
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Repository · 6 publications · 124 citations
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2 publications · 146 citations
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2 publications · 68 citations
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SNDE · 1 publications · 36 citations
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1 publications · 51 citations
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