A Bayesian approach for the comparison of spectral densities of spatial point processes

Spectral analysis prepares an extensive description of both the geometric structure and scales of spatial point patterns. This paper proposes a Bayesian test for comparing the spectral densities of two independent stationary point processes at frequency domain based on the asymptotic distribution of the periodogram by considering a priori distribution for spectral densities.