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Diffstat (limited to 'networkx/algorithms/d_separation.py')
| -rw-r--r-- | networkx/algorithms/d_separation.py | 15 |
1 files changed, 11 insertions, 4 deletions
diff --git a/networkx/algorithms/d_separation.py b/networkx/algorithms/d_separation.py index 964a1684..9d41e2d8 100644 --- a/networkx/algorithms/d_separation.py +++ b/networkx/algorithms/d_separation.py @@ -40,13 +40,20 @@ True References ---------- -.. [1] Pearl, J. (2009). Causality. Cambridge: Cambridge University Press. +.. [1] Pearl, J. (2009). Causality. Cambridge: Cambridge University Press. -.. [2] Darwiche, A. (2009). Modeling and reasoning with Bayesian networks. Cambridge: Cambridge University Press. +.. [2] Darwiche, A. (2009). Modeling and reasoning with Bayesian networks. + Cambridge: Cambridge University Press. -.. [3] Shachter, R. D. (1998). Bayes-ball: rational pastime (for determining irrelevance and requisite information in belief networks and influence diagrams). In , Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (pp. 480–487). San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. +.. [3] Shachter, R. D. (1998). + Bayes-ball: rational pastime (for determining irrelevance and requisite + information in belief networks and influence diagrams). + In , Proceedings of the Fourteenth Conference on Uncertainty in Artificial + Intelligence (pp. 480–487). + San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. -.. [4] Koller, D., & Friedman, N. (2009). Probabilistic graphical models: principles and techniques. The MIT Press. +.. [4] Koller, D., & Friedman, N. (2009). + Probabilistic graphical models: principles and techniques. The MIT Press. """ |