Intervention Forecasting

Intervention Forecasting is a causal forecasting method that specifically predicts the effects of deliberate policy or external changes on a system by modeling the counterfactual trajectories resulting from such interventions.

15

Publications

717

Citations

53

Authors

34

Institutions

Publications per year

2017–2026

8

Authors

53

  1. MB
    Matthew B. A. McDermott

    University of Toronto, Canada

    3 publications · 196 citations

    3

    h-index

  2. SW
    Shirly Wang

    University of Toronto, Canada

    3 publications · 196 citations

    3

    h-index

  3. TN
    Tristan Naumann

    Microsoft (United States), United States

    3 publications · 196 citations

    3

    h-index

  4. MG
    Marzyeh Ghassemi

    Massachusetts Institute of Technology, United States

    3 publications · 196 citations

    3

    h-index

  5. MC
    Michael C. Hughes

    Tufts University, United States

    3 publications · 196 citations

    3

    h-index

1–5 of 53

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 54 citations

    2

    h-index

  2. Journal of Forecasting

    1 publications · 17 citations

    1

    h-index

  3. Journal of Banking & Finance

    1 publications · 27 citations

    1

    h-index

  4. Clinical Social Work Journal

    1 publications · 11 citations

    1

    h-index

  5. International Advances in Economic Research

    IAER · 1 publications · 13 citations

    1

    h-index

1–5