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A toolbox to perform numerical inference over discrete (categorical) Hidden Markov Chains.

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discreteHMC

'discreteHMC' is a Matalb toolbox to perform numerical inference over Hidden Markov Chains. Implements forward, backward, and Viterbi algorithms.
Currently works for scalar states and observations, with both stationary and non-stationary transition and observation matrices.

To Do

  • ML estimation of distributional parameters
  • Inference while averaging over distribution parameters
  • Add support for multi-dim states and observations

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A toolbox to perform numerical inference over discrete (categorical) Hidden Markov Chains.

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