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. 1213.
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, 6574.
Whittle, P. (1963): Stochastic processes in several dimensions. Bull. ISI 40: 974-994.