☰

Jin Tian, Ph.D. - Publications

Affiliations: 
2002 University of California, Los Angeles, Los Angeles, CA 
Area:
artificial intelligence and knowledge representation; probabilistic and causal reasoning; nonstandard logics; learning strategies
Tree Info Similar researchers PubMed Report error

9 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Bareinboim E, Tian J. Recovering causal effects from selection bias Proceedings of the National Conference On Artificial Intelligence. 5: 3475-3481.  0.651
2014 Bareinboim E, Tian J, Pearl J. Recovering from selection bias in causal and statistical inference Proceedings of the National Conference On Artificial Intelligence. 4: 2410-2416.  0.641
2014 Chen B, Tian J, Pearl J. Testable implications of linear structural equation models Proceedings of the National Conference On Artificial Intelligence. 4: 2424-2430.  0.475
2013 Mohan K, Pearl J, Tian J. Graphical models for inference with missing data Advances in Neural Information Processing Systems.  0.47
2008 Cai Z, Kuroki M, Pearl J, Tian J. Bounds on direct effects in the presence of confounded intermediate variables. Biometrics. 64: 695-701. PMID 18162106 DOI: 10.1111/J.1541-0420.2007.00949.X  0.512
2006 Tian J, Kang C, Pearl J. A characterizetion of interventional distributions in semi-markovian causal models Proceedings of the National Conference On Artificial Intelligence. 2: 1239-1244.  0.487
2002 Tian J, Pearl J. A new characterization of the experimental implications of causal bayesian networks Proceedings of the National Conference On Artificial Intelligence. 574-579.  0.452
2002 Tian J, Pearl J. A general identification condition for causal effects Proceedings of the National Conference On Artificial Intelligence. 567-573.  0.463
2000 Tian J, Pearl J. Probabilities of causation: Bounds and identification Annals of Mathematics and Artificial Intelligence. 28: 287-313.  0.498
Show low-probability matches.