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Simulation of Cox Processes Driven by Random Gaussian Field

Author

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  • Yurij Kozachenko

    (Uzhgorod National University)

  • Oleksandr Pogoriliak

    (Uzhgorod National University)

Abstract

In this paper we consider the Cox processes directed by random log Gaussian homogeneous field. We construct models for such processes with some accuracy and reliability.

Suggested Citation

  • Yurij Kozachenko & Oleksandr Pogoriliak, 2011. "Simulation of Cox Processes Driven by Random Gaussian Field," Methodology and Computing in Applied Probability, Springer, vol. 13(3), pages 511-521, September.
    • Handle: RePEc:spr:metcap:v:13:y:2011:i:3:d:10.1007_s11009-010-9169-8
    DOI: 10.1007/s11009-010-9169-8
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    References listed on IDEAS

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    1. Anders Brix & Jesper Moller, 2001. "Space‐time Multi Type Log Gaussian Cox Processes with a View to Modelling Weeds," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 28(3), pages 471-488, September.
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    Cited by:

    1. Turchyn Ievgen, 2019. "Wavelet-based simulation of random processes from certain classes with given accuracy and reliability," Monte Carlo Methods and Applications, De Gruyter, vol. 25(3), pages 217-225, September.

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