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Bayesian modeling of continuously marked spatial point patterns

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  • Matthew Bognar

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  • Matthew Bognar, 2008. "Bayesian modeling of continuously marked spatial point patterns," Computational Statistics, Springer, vol. 23(3), pages 361-379, July.
    • Handle: RePEc:spr:compst:v:23:y:2008:i:3:p:361-379
    DOI: 10.1007/s00180-007-0073-9
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    References listed on IDEAS

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    1. Mark Berman & T. Rolf Turner, 1992. "Approximating Point Process Likelihoods with Glim," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(1), pages 31-38, March.
    2. Jorge Mateu & Francisco Montes, 2001. "Likelihood Inference for Gibbs Processes in the Analysis of Spatial Point Patterns," International Statistical Review, International Statistical Institute, vol. 69(1), pages 81-104, April.
    3. Yosihiko Ogata & Masaharu Tanemura, 1989. "Likelihood estimation of soft-core interaction potentials for Gibbsian point patterns," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 41(3), pages 583-600, September.
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