The variant of the Hidden Markov Model where the state transition as well as observations occurs in the continuous time. Before starting work, you may check out the tutorial with examples. the ipython ...

Hence, this article proposes a hidden Markov model for networked time series data with mixture marginal distributions. The Markov transition rule for latent states captures the state-switching ...

However, the conventional hidden Markov models (HMMs) assume stationary state transition probability and fail to adequately describe PUs' dwell time distributions. In this letter, we propose a ...

We have developed a hidden Markov model and optimization procedure for photon-based single-molecule FRET data, which takes into account the trace-dependent background intensities. This analysis ...