To overcome this limitation, we present a hierarchical hidden Markov model, diHMM, to systematically annotate chromatin states at multiple length scales.

C. Bracken, B. Rajagopalan, & E. Zagona (2014). “A Hidden Markov Model Combined with Climate Indices for Multi-decadal Streamflow Simulation,” Water Resources Research, 50, 7836-7846. Abstract: ...

Online (also called "recursive" or "adaptive") estimation of fixed model parameters in hidden Markov models is a topic of much interest in times series modeling. In this work, we propose an online ...

Stefan Klein, Jens Timmer, Josef Honerkamp, Analysis of Multichannel Patch Clamp Recordings by Hidden Markov Models, Biometrics, Vol. 53, No. 3 (Sep., 1997), pp. 870-884 ...