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Markov Chains Clearly Explained Part 1
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Video Source: www.youtube.com/watch?v=PYwKS-thv8c
In this video, we define the concept of transient state, ergodic Markov chains, aperiodic and periodic states, each with examples. The video also provided a trial work with a solution in the description below this video. • Solution: (a) pi = (1/6, 1/3, 1/3, 1/6) • (b) d = 2 • Please kindly: • Subscribe to support my channel or to show some appreciation if you've not subscribed; • like, comment, and share. • #stochasticprocesses #classificationtstates #statlegend
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