Functional Vector Autoregressive Models
Functional Vector Autoregressive Models is a class of functional time series models that extends multivariate vector autoregressive processes to infinite-dimensional Hilbert spaces by modeling the temporal dependence of vector-valued functional observations through lagged functional coefficients.
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2017–2026
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Forecasting functional time series
Rob J. Hyndman, Han Lin Shang · Journal of the Korean Statistical Society · 2009 · 184 citations
RATS Handbook for Vector Autoregressions
Thomas Doan · 2010 · 22 citations
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Université Claude Bernard Lyon 1
Villeurbanne, France
1 h-index
3 publications
126 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
15 citations
Maastricht University
Maastricht, The Netherlands
1 h-index
3 publications
2.1K citations
University of California, Davis
Davis, United States
1 h-index
1 publications
233 citations
Institute of Mathematical Statistics
Beachwood, United States
1 h-index
1 publications
233 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
18 citations

Renmin University of China
Beijing, China
1 h-index
1 publications
18 citations

Monash University
Melbourne, Australia
1 h-index
2 publications
368 citations
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1 publications · 233 citations
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1 publications · 18 citations
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1 publications · 184 citations
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1 publications · 697 citations
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