Bayesian Autoregressive Models
Bayesian Autoregressive Models is a statistical modeling framework that belongs to the class of time series models in which future values are predicted as a linear combination of past observations, distinguished by the incorporation of Bayesian inference to estimate model parameters and quantify uncertainty through posterior distributions.
234
Publications
14.5K
Citations
450
Authors
276
Institutions
Publications per year
2017–2026
61
234
1–5 of 234
450
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276
European Central Bank
Frankfurt am Main, Germany
9 h-index
15 publications
1K citations

University of Pretoria
Pretoria, South Africa
8 h-index
11 publications
322 citations
Federal Reserve Bank of Minneapolis
Minneapolis, United States
5 h-index
7 publications
1.6K citations
Centre for Economic Policy Research
London, United Kingdom
5 h-index
7 publications
408 citations

UNSW Sydney
Sydney, Australia
5 h-index
27 publications
1K citations

International Monetary Fund
Washington D.C., United States
5 h-index
6 publications
123 citations

Washington University in St. Louis
St Louis, United States
4 h-index
4 publications
707 citations
Queen Mary University of London
London, United Kingdom
4 h-index
6 publications
753 citations
1–8 of 276
15 publications · 982 citations
14
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Repository · 16 publications · 770 citations
13
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JBES · 12 publications · 2.9K citations
12
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11 publications · 685 citations
11
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7 publications · 363 citations
7
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1–5