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Directed graphical models specify noisy functional relationships among a collection of random variables.
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Seth Sullivant, Kelli Talaska, and Jan Draisma, Trek separation for Gaussian graphical models , Ann. Statist. 38
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Mathias Drton, Rina Foygel, and Seth Sullivant, Global identifiability of linear structural equation models , Ann. Statist. 39
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Rina Foygel, Jan Draisma, and Mathias Drton, Half-trek criterion for generic identifiability of linear structural equation models , Ann. Statist. 40
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Jan Draisma, Seth Sullivant, and Kelli Talaska, Positivity for Gaussian graphical models , Adv. in Appl. Math. 50
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Thijs van Ommen and Joris M. Mooij, Algebraic equivalence of linear structural equation models , Proceedings of the 33rd Annual Conference on Uncertainty in Artificial Intelligence (UAI-17), 2017
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Hajir Roozbehani and Yury Polyanskiy, Algebraic methods of classifying directed graphical models , 2014 IEEE International Symposium on Information Theory, June 2014, pp. 2027–2031
2031
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