Exploring the state sequence space for hidden Markov and semi-Markov chains

@article{Gudon2007ExploringTS,
  title={Exploring the state sequence space for hidden Markov and semi-Markov chains},
  author={Yann Gu{\'e}don},
  journal={Computational Statistics & Data Analysis},
  year={2007},
  volume={51},
  pages={2379-2409}
}
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categories: (i) enumeration of state sequences, (ii) summary of the possible state sequences in state profiles, (iii) computation of a global measure of the state sequence uncertainty. Concerning the first category, the generalized Viterbi algorithm for computing the top L most probable state sequences and the forward… CONTINUE READING
Highly Cited
This paper has 30 citations. REVIEW CITATIONS
18 Citations
8 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 18 extracted citations

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…