Kalman filtering of a space-time Markov random field
The author gives results concerning estimation of Markov random fields described by linear time-dependent state-space equations and observed with additive noise. Recursive equations, finite-dimensional sufficient statistics and recursive filters are developed and their use for estimation (via the expectation maximization algorithm) is discussed.
scientific article; zbMATH DE number 1993313
scientific article