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

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

Scandinavian Journal of Statistics, Vol. 21, No. 4 (Dec., 1994), pp. 289-357 (69 pages) An overview is given over a fair range of topics within spatial and spatial-temporal statistics. The theory ...

RNAscope™ technology and the Lunaphore COMET™ enable simultaneous RNA and protein detection on the same tissue section Technologies support spatial multiomic analysis and deeper insights for pathology ...

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 ...