Hidden Markov Process

A Hidden Markov Process is a Markov process that is a partially observable stochastic process.

• See: Hidden Markov Metamodel, Partially Observable Markov Decision Process.

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References

2002

• (Xing et al., 2002) ⇒ Eric P. Xing, Michael I. Jordan, Richard M. Karp and Stuart J. Russell. (2002). “A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.” In: Proceedings of Advances in Neural Information Processing Systems (NIPS 2002).
  • QUOTE: … Our model posits that the position-specific multinomial parameters for monomer distribution are distributed as a latent Dirichlet-mixture random variable, and the position-specific Dirichlet component is determined by a hidden Markov process.

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