In a Markov Chain, what is a “Markov Blanket”?
a) A group of states that have the same period
b) A subset of states that isolates a target node from the rest of the network
c) The set of recurrent states
d) The absorbing states of the chain
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The correct answer is:
b) A subset of states that isolates a target node from the rest of the network
In the context of Markov Chains, a Markov blanket refers to a set of states that can provide all the necessary information to determine the behavior of a specific target state, effectively isolating it from the rest of the system. This concept is often used in probabilistic graphical models to define the minimal set of states or variables that need to be known to predict the state of a particular node.