Statistical Rethinking Lecture B10 - Hidden Markov Models
Richard McElreath
This lecture introduces Hidden Markov Models (HMMs) as powerful state-based frameworks designed to infer unobservable latent causes from observable data, distinguishing them from simple measurement error models by incorporating temporal dynamics where current states influence future ones. The discus …