Identification of joint interventional distributions in recursive semimarkovian causal models (2006)
| Venue: | In Twenty-First National Conference on Artificial Intelligence |
| Citations: | 25 - 11 self |
BibTeX
@INPROCEEDINGS{Shpitser06identificationof,
author = {Ilya Shpitser and Judea Pearl},
title = {Identification of joint interventional distributions in recursive semimarkovian causal models},
booktitle = {In Twenty-First National Conference on Artificial Intelligence},
year = {2006},
pages = {2006}
}
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Abstract
This paper is concerned with estimating the effects of actions from causal assumptions, represented concisely as a directed graph, and statistical knowledge, given as a probability distribution. We provide a necessary and sufficient graphical condition for the cases when the causal effect of an arbitrary set of variables on another arbitrary set can be determined uniquely from the available information, as well as an algorithm which computes the effect whenever this condition holds. Furthermore, we use our results to prove completeness of do-calculus [Pearl, 1995], and a version of an identification algorithm in [Tian, 2002] for the same identification problem.
Citations
| 766 | Causality: Models, Reasoning, and Inference - Pearl |
| 384 | Causation, prediction and search - Spirtes, Glymour, et al. - 1993 |
| 54 | Axiomatizing causal reasoning - Halpern - 1998 |
| 52 | Probabilistic evaluation of sequential plans from causal models with hidden variables - Pearl, Robins - 1995 |
| 51 | Causal diagrams for empirical research. Biometrika 82(4):669–710 - Pearl - 1995 |
| 47 | A general identification condition for causal effects - Tian, Pearl - 2002 |
| 43 | Direct and indirect effects - Pearl - 2005 |
| 25 | Identifiability criteria for causal effects of joint interventions - Kuroki, Miyakawa - 1999 |
| 21 | Identifiability of path-specific effects - Avin, Shpitser, et al. - 2005 |
| 10 | Studies in Causal Reasoning and Learning - Tian |
| 6 | On the completeness of an identifiability algorithm for semi-markovian models - Huang, Valtorta - 2006 |
