Markov Chains, Markov Process, Python, Discrete Time Markov, Probability.
t. The following Python code calculates π_t: import numpy as np from matplotlib import pyplot as plt #initialize the transition matrix P P=np.array([[0.6,0.4],[0.75,0.25]]) #initialize pi_0 pi_0=np.array([0.5, 0.5]) #set up the array to accumulate the state probabilities at times t=1 to 10 pi=[]