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cindyangelira/markov_steady_state.py

Created January 23, 2023 14:43
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Markov Chain Steady State
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markov_steady_state.py
steps = 10**6
transition = model_try.prob_matrix
transition_n = transition
for i in range(steps):
transition_n=np.matmul(transition_n,transition)
print("pi = ",transition_n[1])
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