Hidden Markov models (HMMs) provide a robust statistical framework for analysing sequential data by assuming that the observed processes are driven by underlying, unobserved states. These models ...

We formulate a hidden Markov model in which the latent state space contains both pure and mixed strategies. We apply the model to data from an experiment in which human subjects repeatedly play a ...

Si Chen 1, Dong-Hyeok Park 1, Dongkyun Kim 2, Tae-Woong Kim 3, An integrated hidden Markov model with an adaptive exponential weighting scheme for forecasting a meteorological drought index, Journal ...