Hidden Markov Model (HMM): A model for sequential data where the system is assumed to follow a Markov process with hidden states producing observed outcomes.

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.