 This is called the Markov property.Similarly, the value of the observed variable "y"("t") only depends on the value of the hidden variable "x"("t") (both at time ).In the standard type of hidden Markov model considered here, the state space of the hidden variables is discrete, while the observations themselves can either be discrete (typically generated from a categorical distribution) or continuous (typically from a Gaussian distribution).