Causal Identification under Markov Equivalence: Completeness Results

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  Logical Investigations of Causal Models and Counterfactual Structures (因果模型與反實結構的邏輯探究)

  ZHANG, J., EBERHARDT, F. & YIN, Y.

  Research Grants Council (HKSAR)

  1/09/18 → 31/12/20

  Project: Grant Research

  • Identification 100%
  • Causal Diagram 80%
  • Causal Model 57%
  • Causal Effect 42%
  • Conditionals 42%

• Causation, Decision, and Imprecise Probabilities

  ZHANG, J. & SEIDENFELD, T.

  Research Grants Council (HKSAR)

  1/01/16 → 31/12/17

  Project: Grant Research

  • Identification 100%
  • Causal Diagram 71%
  • Markov Equivalence 69%
  • Variables 65%
  • Equivalence Class 63%