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
Parents
5
Causal Hidden Markov Model for Time Series Disease Forecasting
Jing Li, Botong Wu, Xinwei Sun et al. · 2021 · 35 citations
1–5 of 5
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11

University of Warwick
Coventry, United Kingdom
1 h-index
1 publications
22 citations

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
32 citations

Southwest Jiaotong University
Chengdu, China
1 h-index
1 publications
32 citations
Oxford Brookes University
Oxford, United Kingdom
1 h-index
1 publications
25 citations
Microsoft Research Asia (China)
Beijing, China
1 h-index
1 publications
35 citations
King University
Bristol, United States
1 h-index
1 publications
35 citations

Peking University
Beijing, China
1 h-index
3 publications
105 citations
Istanbul University-Cerrahpaşa
Istanbul, Türkiye
1 h-index
1 publications
101 citations
1–8 of 11
QREF · 1 publications · 25 citations
1
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1 publications · 101 citations
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1 publications · 32 citations
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1 publications · 22 citations
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