Hidden Markov Model: A statistical model in which the system being modelled is assumed to follow a Markov process with hidden states that can only be indirectly observed through related outputs.

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: ...

A Hidden Markov Model (HMM) is a statistical model that assumes there are underlying, unobservable (hidden) states that drive observable outcomes.

We study Markov regime-switching Gaussian autoregressive models that capture temporal heterogeneity exhibited by time series data. Constructing a Markov regime-switching model requires making several ...

Hidden Markov Genomics. Asger Hobolth at North Carolina State University's Bioinformatics Research Center and his team used a hidden Markov model to estimate that chimps and humans diverged from a ...

Hidden Markov Models (HMMs) extend this framework by incorporating latent (or hidden) states that are not directly observed, yet influence the outcomes of observed variables.