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: ...

Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence 'labeling' problems 1,2. They provide a conceptual toolkit for building complex models just by ...

This is a preview. Log in through your library . Abstract Hidden Markov models (HMMs) are flexible time series models in which the distribution of the observations depends on unobserved serially ...

This is a preview. Log in through your library . Abstract In this paper, we study the problems of sequential probability ratio tests for parameterized hidden Markov models. We investigate in some ...