Hammersley–Clifford theorem

The Hammersley–Clifford theorem is a result in probability theory, mathematical statistics and statistical mechanics that gives necessary and sufficient conditions under which a strictly positive probability distribution can be represented as events generated by a Markov network (also known as a Markov random field). It is the fundamental theorem of random fields.

Source: Wikipedia — Hammersley–Clifford theorem (CC BY-SA 4.0)

Hammersley–Clifford theorem

The Hammersley–Clifford theorem is a result in probability theory, mathematical statistics and statistical mechanics that gives necessary and sufficient conditions under which a strictly positive probability distribution can be represented as events generated by a Markov network (also known as a Markov random field). It is the fundamental theorem of random fields.

Source: Wikipedia "Hammersley–Clifford theorem" · CC BY-SA 4.0

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