Central limit theorem for Gibbsian U-statistics of facet processes
Jakub Večeřa (2016)
Applications of Mathematics
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A special case of a Gibbsian facet process on a fixed window with a discrete orientation distribution and with increasing intensity of the underlying Poisson process is studied. All asymptotic joint moments for interaction U-statistics are calculated and the central limit theorem is derived using the method of moments.