References for Markov random fields

Besag, J.: (1974): Spatial interaction and the statistical analysis of latttice systems (with discussion). JRSS B 36: 192-236.

Gelfand et al., ch. 12–13.

Geyer, C.J. amd Thompson, E. A. (1992): Constrained Monte Carlo maximum likelihood for dependent data (with discussion). JRSS B 54: 657-699.

Lindgren, F. and Rue, H. (2013), “Bayesian Spatial and Spatio-temporal Modelling with R-INLA,”  J. Stat. Softw.

Rue, H. and Held, J. (2005): Gaussian Markov random fields: theory and applications. Chapman & Hall/CRC

Simpson, D., Lindgren, F., and Rue, H. (2010), “In order to make spatial statistics computationally feasible, we need to forget about the covariance function,” Environmetrics, 23, 65–74.

Whittle, P. (1963): Stochastic processes in several dimensions. Bull. ISI 40: 974-994.