Graphical Models for Probabilistic and Causal Reasoning-Reference-Cited by-同舟云学术

Graphical Models for Probabilistic and Causal Reasoning

Published:1998 Issue: Volume: Page:367-389
ISSN:
Container-title:Quantified Representation of Uncertainty and Imprecision
language:
Short-container-title:

Author:

Pearl Judea

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-017-1735-9_12

Reference74 articles.

1. B. Abramson. ARCO1: An application of belief networks to the oil market. In Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence,San Mateo, CA, 1991. Morgan Kaufmann.

2. A.M. Agogino, S. Srinivas, and K. Schneider. Multiple sensor expert system for diagnostic reasoning, monitoring and control of mechanical systems. Mechanical Systems and Signal Processing,2:165–185,1988.

3. S.K. Andersen, K. G. Olesen, E. V. Jensen, and F. Jensen. Hugin - a shell for building bayesian belief universes for expert systems. In Eleventh International Joint Conference on Artificial Intelligence,pages 1080–1085,1989.

4. Alexander Balke and Judea Pearl. Counterfactual probabilities: Computational methods, bounds, and applications. In R. Lopez de Mantaras and D. Poole, editors, Proceedings of the Conference on Uncertainty in Artificial Intelligence, pages 46–54. Morgan Kaufmann, San Mateo, CA, 1994.

5. Alexander Balke and Judea Pearl. Counterfactuals and policy analysis in structural models. In P. Besnard and S. Hanks, editors, Uncertainty in Artificial Intelligence 11, pages 11–18. Morgan Kaufmann, San Francisco, CA, 1995.

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