## 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.