Nonlinear Multivariate Forecasting

Nonlinear Multivariate Forecasting is a multivariate forecasting methodology that models complex interdependencies among multiple time series through nonlinear functional relationships, distinguishing it from linear multivariate forecasting approaches by its capacity to capture non-additive, higher-order interactions and dynamic dependencies.

32

Publications

3.2K

Citations

89

Authors

55

Institutions

Publications per year

2017–2026

11

Authors

89

  1. HZ
    Hossein Zamanı

    University of Hormozgan, Iran

    2 publications · 46 citations

    2

    h-index

  2. MS
    Marzieh Shekari

    University of Hormozgan, Iran

    2 publications · 46 citations

    2

    h-index

  3. LR
    Luca Ridolfi

    Politecnico di Torino, Italy

    2 publications · 164 citations

    2

    h-index

  4. AP
    Amilcare Porporato

    Duke University, United States

    2 publications · 164 citations

    2

    h-index

  5. ZA
    Zahra Azhdari

    University of Hormozgan, Iran

    2 publications · 46 citations

    2

    h-index

1–5 of 89

Venues

  1. Water Resources Research

    2 publications · 122 citations

    2

    h-index

  2. Journal of Hydrology

    2 publications · 140 citations

    2

    h-index

  3. Applied Soft Computing

    2 publications · 89 citations

    2

    h-index

  4. Neurocomputing

    1 publications · 37 citations

    1

    h-index

  5. Journal of Engineering Research

    JER · 1 publications · 50 citations

    1

    h-index

1–5