Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel

NeuroImage

Volumn 58, Issue 3, 2011, Pages 770-771

  Pearl, Judea ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCOURSE ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; LANGUAGE PROCESSING; MACHINE LEARNING; MATHEMATICAL COMPUTING; NOTE; PRIORITY JOURNAL; STRUCTURAL EQUATION MODELING;

ARTIFACTS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; META-ANALYSIS AS TOPIC;

EID: 80052181310     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.06.007     Document Type: Note

References (10)

1. Balke A., Pearl J. Counterfactual probabilities: computational methods, bounds, and applications. Uncertainty in Artificial Intelligence 1994, 10:46-54. Morgan Kaufmann, San Mateo, CA. R.L. de Mantaras, D. Poole (Eds.).
2. Galles D., Pearl J. An axiomatic characterization of causal counterfactuals. Found. Sci. 1998, 3:151-182.
3. Greenland S., Pearl J., Robins J. Causal diagrams for epidemiologic research. Epidemiology 1999, 10:37-48.
4. Halpern J. Axiomatizing causal reasoning. Uncertainty in Artificial Intelligence 1998, 202-210. Morgan Kaufmann, San Francisco, CA. G. Cooper, S. Moral (Eds.).
5. J. Artif. Intell. Res. 2000, 12(3):17-37. Also.
6. Lindquist M.A., Sobel M.E. Graphical models, potential outcomes and causal inference: comment on Ramsey, Spirtes and Glymour. NeuroImage 2011, 57:334-336.
7. Pearl J. Causal diagrams for empirical research. Biometrika 1995, 82:669-710.
8. Pearl J. Causality: Models, Reasoning, and Inference 2009, (2000), Cambridge University Press, New York. 2nd ed.
9. Pearl J. The foundations of causal inference. Sociol. Methodol. 2010, 40:75-149.
10. Spirtes P., Glymour C., Scheines R. Causation, Prediction, and Search 2000, MIT Press, Cambridge, MA. 2nd ed.