Abstract: This article develops an analytical framework for studying information divergences and likelihood ratios associated with Poisson processes and point patterns on general measurable spaces.

Abstract: Real land parcels exhibit high variability in size and complexity. Existing deep learning-based models often rely on grids or simple resampling to ensure consistent input sizes, which makes ...