Causal inference by surrogate experiments: Z-identifiability

Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012

Volumn , Issue , 2012, Pages 113-120

  Bareinboim, Elias ^a   Pearl, Judea ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY SETS; CAUSAL INFERENCES; DO-CALCULUS; IDENTIFIABILITY; SYNTACTIC CHARACTERIZATION;

ARTIFICIAL INTELLIGENCE; CALCULATIONS;

EXPERIMENTS;

EID: 84886026123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

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3. Bareinboim and Pearl, 2012c] Bareinboim, E., and Pearl, J. 2012c. Controlling selection bias in causal inference. In Girolami, M., and Lawrence, N., eds., Proceedings of The Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012), JMLR (22), 100-108.
4. Galles and Pearl, 1995] Galles, D., and Pearl, J. 1995. Testing identifiability of causal effects. In Besnard, P., and Hanks, S., eds., Uncertainty in Artificial Intelligence 11. San Francisco: Morgan Kaufmann. 185-195.
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