prob140.MarkovChain.steady_state

MarkovChain.steady_state()

The stationary distribution of the markov chain

Returns:

Table

steady state distribution

Examples

>>> mc = Table().states(make_array("A", "B")).transition_probability(make_array(0.5, 0.5, 0.3, 0.7)).toMarkovChain()
>>> mc.steady_state()
State | Probability
A     | 0.375
B     | 0.625