Markov Chain

A mathematical model wherein the probability of each event is only dependent on the last previous state. It does not have Memory. LSTM models attempt to revise this.

Probability

$P(A_{i+1}^{\ast }|A_i^{\ast },A_{i-1}^{\ast },\dots ,A_1^{\ast })=P(A_{i+1}^{\ast }|A_1^{\ast })$ Where $A_i^{\ast }\in \{A_i,A_i^{{}^{\prime }}\}$