To construct the Markov chain of order 1 for the next character in that string, one must estimate the following 9 conditional probability components: {Pr(a|a), Pr(a|b), Pr(a|c), Pr(b|a), Pr(b|b), Pr(b|c), Pr(c|a), Pr(c|b), Pr(c|c)}.
The variable-order Markov model assumes that in realistic settings, there are certain realizations of states (represented by contexts) in which some past states are independent from the future states; accordingly, "a great reduction in the number of model parameters can be achieved."[REF] .