Multivariate Exponential Smoothing

Multivariate Exponential Smoothing is a time series forecasting method that extends univariate exponential smoothing by jointly modeling and updating multiple interrelated time series through a shared smoothing framework that accounts for cross-series dependencies.

19

Publications

997

Citations

46

Authors

36

Institutions

Publications per year

2017–2026

4

Authors

46

  1. GS
    Giacomo Sbrana

    NEOMA Business School, France

    3 publications · 279 citations

    3

    h-index

  2. AS
    Andrea Silvestrini

    Bank of Italy, Italy

    2 publications · 257 citations

    2

    h-index

  3. PG
    Prosper Gopdjim Noumo

    University of Douala, Cameroon

    1 publications · 26 citations

    1

    h-index

  4. CC
    Christophe Croux

    KU Leuven, Belgium

    1 publications · 37 citations

    1

    h-index

  5. JD
    José D. Bermúdez

    Universitat de València, Spain

    1 publications · 27 citations

    1

    h-index

1–5 of 46

Venues

  1. International Journal of Production Economics

    3 publications · 276 citations

    3

    h-index

  2. Environmental Research

    1 publications · 47 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 26 citations

    1

    h-index

  4. Journal of Travel Research

    JTR · 1 publications · 59 citations

    1

    h-index

  5. Forecasting

    1 publications · 44 citations

    1

    h-index

1–5