Which of the following best describes the long-run probabilities of a Markov chain {Xn: n = 0, 1, 2, ...]? O the probabilities of eventually returning to a state having previously been in that state O the fraction of time the states are repeated on the next step O the fraction of the time being in the various states in the long run the probabilities of starting in the various states

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Which of the following best describes the long-run probabilities of a Markov chain {Xn: n = 0, 1, 2, ...}?
O the probabilities of eventually returning to a state having previously been in that state
O the fraction of time the states are repeated on the next step
O the fraction of the time being in the various states in the long run
O the probabilities of starting in the various states
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Transcribed Image Text:Which of the following best describes the long-run probabilities of a Markov chain {Xn: n = 0, 1, 2, ...}? O the probabilities of eventually returning to a state having previously been in that state O the fraction of time the states are repeated on the next step O the fraction of the time being in the various states in the long run O the probabilities of starting in the various states • Previous Not saved Simpfun
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Long run probability is the probability of going from one state to other in a long time i.e .  indefinitely large steps.

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