Bayesian Multivariate Forecasting
Bayesian Multivariate Forecasting is a statistical forecasting framework that integrates Bayesian inference with multivariate time series modeling to jointly predict multiple interdependent variables while quantifying uncertainty through posterior distributions.
32
Publications
2.7K
Citations
74
Authors
57
Institutions
Publications per year
2017–2026
14
Parents
32
Bayesian Methods for Dynamic Multivariate Models
Christopher A. Sims, Tao Zha · International Economic Review · 1998 · 1K citations
Econometric Model Determination
Peter C.B. Phillips · Econometrica · 1996 · 198 citations
1–5 of 32
74
University of California, Santa Barbara, United States
3 publications · 92 citations
3
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3
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3
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2
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2
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1–5 of 74
57
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
8 publications
247 citations

Utah State University
Logan, United States
2 h-index
5 publications
129 citations
Duke University
Durham, United States
2 h-index
2 publications
79 citations
Ecolab (United States)
Saint Paul, United States
2 h-index
2 publications
1K citations

Johns Hopkins Medicine
Baltimore, United States
1 h-index
2 publications
78 citations

ICMA Centre
Reading, United Kingdom
1 h-index
1 publications
13 citations

University of Oslo
Oslo, Norway
1 h-index
1 publications
36 citations

University of Southern Queensland
Toowoomba, Australia
1 h-index
1 publications
15 citations
1–8 of 57
3 publications · 556 citations
3
h-index
3 publications · 155 citations
3
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1 publications · 10 citations
1
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BSSA · 1 publications · 28 citations
1
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1 publications · 21 citations
1
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1–5