Generating Spatial Correlated Binary Data Through a Copulas Method

نویسندگان

  • Renhao Jin
  • Sha Wang
  • Fang Yan
  • Jie Zhu
چکیده

Simulating spatial correlated binary data is very important on many cases, but it is not easily to accomplish, as there are restrictions on the parameters of Bernoulli variables. This paper develops a copulas method to generate spatial correlated binary data. The spatial binary data generated by this method has an inverse spatial pattern comparing with the latent Gaussian random field data, however they have similar empirical variograms, although the closed form for the spatial correlation is not available specifically.

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تاریخ انتشار 2015