Hidden Markov models (HMMs ... we choose which state to visit next according to the state's transition probability distribution. The model thus generates two strings of information.

This paper proposes a hidden state ... history-dependent transition probabilities. I show that the estimated HMM generates labor market transition probabilities that match those observed in the data, ...

Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by observing the time it takes patients in any ...

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: ...

Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by observing the time it takes patients in any ...