Quantitative Forecasting Models

Quantitative Forecasting Models is a formal analytical framework that employs mathematical and statistical techniques to predict future conflict events based on historical and empirical data, distinguished from qualitative approaches by its reliance on numerical data and algorithmic processing to generate systematic, replicable forecasts.

201

Publications

10.3K

Citations

566

Authors

318

Institutions

Publications per year

2017–2026

65

Authors

566

  1. HH
    Håvard Hegre

    Peace Research Institute Oslo, Norway

    6 publications · 488 citations

    6

    h-index

  2. AG
    Andreas Graefe

    University of Pennsylvania, United States

    6 publications · 228 citations

    6

    h-index

  3. MD
    Michael D. Ward

    Duke University, United States

    5 publications · 416 citations

    5

    h-index

  4. HM
    Håvard Mokleiv Nygård

    Peace Research Institute Oslo, Norway

    4 publications · 436 citations

    4

    h-index

  5. JS
    J. Scott Armstrong

    University of Pennsylvania, United States

    4 publications · 73 citations

    4

    h-index

1–5 of 566

Venues

  1. SSRN Electronic Journal

    Repository · 7 publications · 261 citations

    7

    h-index

  2. Journal of Peace Research

    5 publications · 407 citations

    5

    h-index

  3. Journal of Conflict Resolution

    5 publications · 319 citations

    5

    h-index

  4. Weather and Forecasting

    4 publications · 260 citations

    4

    h-index

  5. Grey Systems Theory and Application

    GS · 4 publications · 95 citations

    4

    h-index

1–5