Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point Patterns

31 May 2019Raif M. RustamovJames T. Klosowski

This paper introduces an approach for detecting differences in the first-order structures of spatial point patterns. The proposed approach leverages the kernel mean embedding in a novel way by introducing its approximate version tailored to spatial point processes... (read more)

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