{"articles":{"markov-network@graphical-networks":{"content":"<p>A Markov network (undirected graphical model) has an undirected graph with nodes \\(I\\) and a set of random variables \\({X = {{{\\left\\{{X}_{i}\\right\\}}}}_{{i \\in{} I}}}\\) that satisfies the global Markov property. <br> So a Markov network is a distribution \\(P\\) and a choice of factorization or choice of independences of \\(P\\) represented by an undirected graph.</p>","names":[[["Markov network",""]]]}},"style":"Definition"}