Figure 1.

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

Edlefsen and Liu BMC Genomics 2010 11(Suppl 1):S10   doi:10.1186/1471-2164-11-S1-S10