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A comparative study of simulation methods for marked Gibbs processes
Published online by Cambridge University Press: 01 July 2016
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- Copyright © Applied Probability Trust 1998
References
[1]
Baddeley, A.J and Møller, J. (1989). Nearest-neighbour Markov point processes and randomsets. Internat. Statist. Review
57, 90–121.Google Scholar
[2]
Geyer, C. and Moller, j. (1994). Simulation procedures and likelihood inference for spatial point processes. Scand. J. Statist.
21, 359–373.Google Scholar
[3]
Ripley, B.D. (1977). Modelling spatial patterns (with discussion). J. Roy. Statist. Soc. B
39, 172–212.Google Scholar
[4]
Ripley, B.D. (1988). Statistical Inference for Spatial Processes. Cambridge University Press, Cambridge, pp. 49–73.Google Scholar
[5]
Stoyan, D. and Grabarnik, P. (1991). Second-order characteristics for stochastic structures connected with Gibbs point processes. Math. Nachr.
151, 95–100.Google Scholar
[6]
Stoyan, D., Kendall, W.S. and Mecke, J. (1995). Stochastic Geometry and its Applications, 2nd edn.
Wiley, New York, pp. 166–192.Google Scholar