Hidden Markov Models, Statistics, Data Science, Machine Learning, Editors Pick.
can’t be directly observed — they are hidden[3]. An Hidden Markov Model is made of two distinct stochastic processes, meaning those are processes that can be defined as sequences of random variables — variables that depend on random events. There’s an invisible process and an observable process.