Bayesian Inference in Hidden Markov Random Fields for Binary Data Defined on Large Lattices
Bayesian Inference in Hidden Markov Random Fields for Binary Data Defined on Large Lattices
Hidden Markov random fields represent a complex hierarchical model, where the hidden latent process is an undirected graphical structure. Performing inference for such models is difficult primarily because the likelihood of the hidden states is often unavailable. The main contribution of this article is to present approximate methods to calculate …