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Pseudo-likelihood Inference for Gibbs Processes with Exponential Families through Generalized Linear Models

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  • Jorge Mateu
  • Francisco Montes

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  • Jorge Mateu & Francisco Montes, 2001. "Pseudo-likelihood Inference for Gibbs Processes with Exponential Families through Generalized Linear Models," Statistical Inference for Stochastic Processes, Springer, vol. 4(2), pages 125-154, May.
    • Handle: RePEc:spr:sistpr:v:4:y:2001:i:2:p:125-154
    DOI: 10.1023/A:1017937331947
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    References listed on IDEAS

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    1. Lindsey, J. K. & Mersch, G., 1992. "Fitting and comparing probability distributions with log linear models," Computational Statistics & Data Analysis, Elsevier, vol. 13(4), pages 373-384, May.
    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.
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    Cited by:

    1. Ondřej Šedivý & Antti Penttinen, 2014. "Intensity estimation for inhomogeneous Gibbs point process with covariates-dependent chemical activity," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(3), pages 225-249, August.

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