Multivariate Demand Modeling

Multivariate Demand Modeling is a statistical modeling framework that distinguishes itself by simultaneously analyzing multiple interdependent variables—such as price, promotions, seasonality, and external market factors—to capture complex demand dynamics and improve forecasting accuracy in supply chain and operations management.

46

Publications

2.6K

Citations

116

Authors

69

Institutions

Publications per year

2017–2026

17

Authors

116

  1. RS
    R. Sundararajan

    Social Service Sericulture Project Trust, India

    2 publications · 24 citations

    2

    h-index

  2. JB
    Jaromí­r Beneš

    International Monetary Fund, United States

    2 publications · 67 citations

    2

    h-index

  3. PN
    Papa N’Diaye

    International Monetary Fund, United States

    2 publications · 67 citations

    2

    h-index

  4. MS
    Maria Sameiro Carvalho

    University of Minho, Portugal

    1 publications · 84 citations

    1

    h-index

  5. LM
    Louise M. Stewart

    The University of Western Australia, Australia

    1 publications · 119 citations

    1

    h-index

1–5 of 116

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 42 citations

    2

    h-index

  2. Management Science

    2 publications · 316 citations

    2

    h-index

  3. European Journal of Operational Research

    2 publications · 318 citations

    2

    h-index

  4. Computers & Industrial Engineering

    2 publications · 75 citations

    2

    h-index

  5. Journal of Biomedical Informatics

    2 publications · 265 citations

    2

    h-index

1–5