1
Anderson PE, Smith JQ. A graphical framework for representing the semantics of asymmetric models. 2005;University of Warwick, Centre for Research in Statistical Methodology Working papers Vol.2005 (No.12).
2
Bonet B. A Calculus for Causal Relevance. Proceedings of the Seventeen Conference on Uncertainty in Artificial Intelligence. S. Francisco: Morgan Kaufmann 2001:40–7.
3
Bonet B. Instrumentality Tests Revisited. Proceedings of the Seventeen Conference on Uncertainty in Artificial Intelligence. S. Francisco: Morgan Kaufmann Publishers 2001:48–54.
4
Capani A, Niesi G, Robbiano L. CoCoA 4. a system for doing Computations in Commutative Algebra. 2000.
5
Char BW. Maple V library reference manual. New York: Springer-Verlag 1991.
6
Gale WA, AT & T Bell Laboratories, Workshop on Artificial Intelligence and Statistics. Artificial intelligence and statistics. Reading, Mass: Addison-Wesley Pub. Co 1986.
7
Dawid AP. Causal Inference Without Counterfactuals. Journal of the American Statistical Association. 2000;95:407–24.
8
Dawid AP. Influence Diagrams for Causal Modelling and Inference. International Statistical Review / Revue Internationale de Statistique. 2002;70:161–89.
9
Cooper GF, Glymour CN, editors. Computation, causation, and discovery. Cambridge, Massachusetts: The MIT Press 1999.
10
Barndorff-Nielsen OE, Cox DR, Klüppelberg C. Complex stochastic systems. Boca Raton: Chapman & Hall/CRC .
11
Cox DR, Klüppelberg C, Barndorff-Nielsen OE. Complex stochastic systems. Boca Raton, Fla: Chapman & Hall/CRC 2001.
12
Monroy R, Mexican International Conference on Artificial Intelligence. MICAI 2004: advances in artificial intelligence : Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004 : proceedings. Berlin: Springer-Verlag .
13
Monroy R, Mexican International Conference on Artificial Intelligence. MICAI 2004: advances in artificial intelligence : Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004 : proceedings. Berlin: Springer-Verlag .
14
Mond D, Riccomagno E, Smith JQ. Algebraic causality : Bayes nets and beyond. 2007;Centre for Research in Statistical Methodology. Working papers, Vol.2007 (No.13).
15
Pearl J. Comment: Graphical Models, Causality and Intervention. Statistical Science. 1993;8:266–9.
16
Pearl J. Causal Diagrams for Empirical Research. Biometrika. 1995;82:669–88.
17
Pearl J. Causality: models, reasoning, and inference. Cambridge: Cambridge University Press 2000.
18
Proceedings of the 10th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Università La Sapienza 2004.
19
Riccomagno E, Smith JQ. The causal manipulation and Bayesian estimation of chain event graphs. Published Online First: 2005.
20
Pronzato L, Zhigli︠a︡vskiĭ AA. Optimal design and related areas in optimization and statistics. New York: Springer 2008.
21
Pearl J. Statistics and causal inference: A review. Test. 2003;12:281–345. doi: 10.1007/BF02595718
22
Robins J. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect. Mathematical Modelling. 1986;7:1393–512. doi: 10.1016/0270-0255(86)90088-6
23
Berkane M. Latent variable modeling and applications to causality. New York: Springer .
24
Scheines R, Spirtes P, Glymour C, et al. TETRAD 3: Tools for Causal Modeling. User’s Manual. http://www.phil.cmu.edu/tetrad/
25
Shafer G. The art of causal conjecture. Cambridge, Mass: MIT Press 1996.
26
Spirtes P, Glymour CN, Scheines R. Causation, prediction, and search. 2nd ed. Cambridge, Mass: MIT Press 2000.
27
Spirtes P, Glymour CN, Scheines R. Causation, prediction, and search. 2nd edition. Cambridge, Massachusetts: The MIT Press 2000.
28
Studený M. Probabilistic conditional independence structures. London: Springer 2005.
29
Studený M. Probabilistic conditional independence structures. London: Springer 2005.
30
Smith JQ, Anderson PE. Conditional independence and chain event graphs. Artificial Intelligence. 2008;172:42–68. doi: 10.1016/j.artint.2007.05.004
31
Smith JQ. Bayesian Decision Analysis: Principles and Practice. Cambridge: Cambridge University Press 2010.
32
Smith JQ. Bayesian decision analysis: principles and practice. Cambridge: Cambridge University Press 2010.
33
Information processing and management of uncertainty knowledge-based systems : proceedings = Traitment d’information et gestion d’incertitudes dans les systemes a base de connaissances : actes : July 2-7, 2006. Paris: EDK 2006.
34
Thwaites PA, Smith JQ. Evaluating Causal effects using Chain Event Graphs. The third Workshop on Probabilistic Graphical Models. 291–300.