A sufficient condition for pooling data

Synthese

Volumn 163, Issue 3, 2008, Pages 433-442

  Eberhardt, Frederick ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Aggregating independence tests; Causal discovery; Experimental design; Search

Indexed keywords

EID: 46249104596     PISSN: 00397857     EISSN: 15730964     Source Type: Journal    
DOI: 10.1007/s11229-007-9293-3     Document Type: Conference Paper

References (9)

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3. Eberhardt, F., Glymour, C., & Scheines, R. (2006). N-1 experiments suffice to determine the causal relations among N variables. In D. E. Holmes & L. C. Jain (Eds.), Innovations in machine learning (pp. 97-112). Springer.
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9. Tong, S., & Koller, D. (2001). Active learning for structure in Bayesian networks. In Proceedings of the International Joint Conference on Artificial Intelligence (pp. 863-869). Seattle, Washington: Morgan Kaufmann.