Steady State Calculation in Markov Chain in R - Cross Validated
stats.stackexchange.com › questions › 213191May 18, 2016 · The vectors supplied are thus a basis of your steady state and any vector representable as a linear combination of them is a possible steady state. Thus your steady states are: (0,0,0,a,a,b)/ (2*a+b) and (0,0,0,0,0,1) This is consistent with the subsequent observations by @Elvis. Share. Improve this answer.
statistics - Cannot calculate Markov chain steady state ...
https://math.stackexchange.com/questions/4403554/cannot-calculate...Show activity on this post. currently I have a markov chain and need to calculate the steady state of the markov chain, but however the values does not converge. I'm using python and numpy to calculate the transition state. self.transition_state = np.array ( [ [1/43, 2/43, 12/43, 0, 13/43, 5/43, 10/43], [5/52, 8/52, 13/52, 0, 16/52, 8/52, 2/52 ...