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 ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

We present a novel approach to adaptive sampling using clustered continuous-time hidden Markov models. The model predicts, at any given sampling time, the probability of moving to an `alert' state, ...

This brief addresses the problem of asynchronous reduced-order filtering for Markov jump systems. The communication between the reduced-order filters and the systems is transmitted through the network ...