Markov Chains, Probabilistic Models, Text Generation, Hidden Markov Models, Python.
time in proportion to the elements of this distribution, regardless of the initial state. Simply, over the time the chain settles into a steady or stationary distribution of probabilities. This is denoted by π, and the stationary distribution satisfies the equation πA = π. For the above-described