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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 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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    What, exactly, are these papers?2010-11-03
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    [This](http://www.springerlink.com/content/j83542h24q561674/) is the one I was looking at. Another is [here](http://www.stat.fi/isi99/proceedings/arkisto/varasto/ricc0071.pdf).2010-11-03

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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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    Thanks. It was really helpful.2010-11-07