Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

Climate models, large spatial datasets, and harnessing deep learning for a statistical computation Numerical simulations of the motion and state of the Earth's atmosphere and ocean yield large and ...

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This course covers specialized methods and models that have been created for performing statistical analysis on spatial data. Students will learn basic statistical concepts and how to apply them to ...