Robust Causal Forecasting

Robust Causal Forecasting is a causal forecasting framework that ensures reliable prediction performance under distributional shifts, unobserved confounding, or model misspecification by explicitly incorporating robustness mechanisms into the estimation of causal relationships over time.

5

Publications

215

Citations

13

Authors

11

Institutions

Publications per year

2017–2026

4

Authors

13

  1. SS
    Stephen Shaoyi Liao

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 32 citations

    1

    h-index

  2. JL
    Jing Li

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 35 citations

    1

    h-index

  3. PW
    Peng Wu

    Anhui University, China

    1 publications · 32 citations

    1

    h-index

  4. XS
    Xinwei Sun

    Peking University, China

    1 publications · 35 citations

    1

    h-index

  5. EN
    Esra N. Kılcı

    Istanbul University-Cerrahpaşa, Türkiye

    1 publications · 101 citations

    1

    h-index

1–5 of 13

Venues

  1. The Quarterly Review of Economics and Finance

    QREF · 1 publications · 25 citations

    1

    h-index

  2. Resources Policy

    1 publications · 101 citations

    1

    h-index

  3. Energy Economics

    1 publications · 32 citations

    1

    h-index

  4. Bayesian Analysis

    1 publications · 22 citations

    1

    h-index

1–4