Figure 1
The hidden Markov model. The state of an unobserved Markov chain h τ evolves over time τ according to transition kernel t τ (·|hτ-1). At each time the observed datum d τ is distributed according to the "emission" distribution e τ (·|h τ ), which depends on the current state of the hidden Markov chain.