In particular, our process has a finite number of different
possible states, namely: anger, disgust, fear, joy, sadness,
analytical, confident and tentative. If we assume that this
process is stationary and Markovian, there must exists a 9×9
transition matrix A encoding the probabilities in Eq. (1) by:
aij=P(Xn = si | Xn-1
= sj)
where si, sj are any two of the moods defined above and where n
is any point in time.
Given dataset for a Markov chain model....