Recursive Bayesian estimation

A sequential Bayesian framework for updating the probability distribution of a system state as new observations arrive. The previous posterior becomes the new prior at each step, updated with the likelihood of incoming data. The Kalman filter and particle filter are prominent special-case implementations.