Introduction - If you have any usage issues, please Google them yourself
The implicit Markov model (HMM) is developed on the basis of the Markov model. Since the actual problems are more complex than those described by the Markov model, the observed events do not correspond to States, but are connected by a set of observation probability distributions. Such models are called HMM. It is a doubly stochastic process, one of which is the Markov chain, which is a basic stochastic process that describes the transfer between states. Another stochastic process describes the statistical correspondence between the state and the observed variables, so that the observer can only see the observations at the observer's point of view, unlike the observed values and states in the Markov model.