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I am working in the field of machine learning, and I have come across a few papers that show relationships between Gröbner bases and discrete probability. So I come here for help.

Can you please explain how can Gröbner bases be used to describe discrete probability?

I have looked at Gröbner bases and I understand the general concepts (and used Maple to calculate a few examples). So it is the link that is missing for me.

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You can find a nice introduction here: �Pistone, Giovanni and Riccomagno, Eva and Wynn, Henry, Pistone,

Pistone, Giovanni; Riccomagno, Eva; Wynn, Henry
Computational commutative algebra in discrete statistics

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  • $\begingroup$ Thanks. It was really helpful. $\endgroup$ Nov 7, 2010 at 23:27

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