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.

8

Publications

1.2K

Citations

16

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

16

  1. JJ
    Julien Jacques

    Centre National de la Recherche Scientifique, France

    1 publications · 42 citations

    1

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  2. TD
    Thomas Doan

    Federal Reserve Bank of Minneapolis, United States

    1 publications · 22 citations

    1

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  3. SH
    Siegfried Hörmann

    Graz University of Technology, Austria

    1 publications · 233 citations

    1

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  4. EF
    Elia Formisano

    Maastricht University, Netherlands

    1 publications · 697 citations

    1

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  5. RG
    Rainer Goebel

    Maastricht University, Netherlands

    1 publications · 697 citations

    1

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Venues

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  2. Bernoulli

    1 publications · 18 citations

    1

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  3. Biometrika

    1 publications · 15 citations

    1

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  4. Journal of the Korean Statistical Society

    1 publications · 184 citations

    1

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  5. Magnetic Resonance Imaging

    1 publications · 697 citations

    1

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