Another Look at Conditionally Gaussian Markov Random Fields
Michael Lavine · 1999
Abstract This paper shows that a Markov random field prior on a lattice is identical to the posterior from a particular dynamic linear model updated with a particular data set Y. This opens the possibility of using dynamic linear model ideas, notably a computational algorithm, in the Markov random field setting.