Causal Graph Search
Causal Graph Search is a methodological framework within causal inference that systematically identifies directed acyclic graphs representing plausible causal relationships from observational or experimental data by distinguishing causal structures through conditional independence tests or score-based optimization.
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1.9K
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401
Authors
137
Institutions
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2017–2026
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Parents
33
Strategies of information search in causal analysis
Harriet Shaklee, Baruch Fischhoff · Memory & Cognition · 1982 · 187 citations · Full text
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University of Amsterdam
Amsterdam, The Netherlands
3 h-index
7 publications
1K citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
13 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
8 publications
454 citations
Tsinghua University
Beijing, China
2 h-index
6 publications
240 citations
Huawei Technologies (China)
Shenzhen, China
2 h-index
5 publications
265 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
104 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
10 publications
1.2K citations
Helsinki Institute for Information Technology
Espoo, Finland
2 h-index
4 publications
74 citations
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Repository · 4 publications · 157 citations
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2 publications · 53 citations
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JAIR · 1 publications · 60 citations
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QREF · 1 publications · 253 citations
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1 publications · 41 citations
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