Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...
The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Image analysis and computer vision / Donald Geman and Basilis Gidas -- Oceanographic and atmospheric applications of spatial statistics and digital image analysis / James J. Simpson -- Spatial ...
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