Multi-scale Graphical Models for Spatio-Temporal Processes

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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016, methodology): “Another example of theory-guided priors can be found in the field of geophysics [51], where the knowledge of convectiondiffusion equations was used as priors for determining the connectivity structure of subsurface aquifers.”
Machine learning for data-driven discovery in solid Earth geoscience (2019, methodology): “In exploration geophysics, hierarchical graphical models have been applied to determine the connectivity of subsurface reservoirs from time-series measurementsusingpriorsderived fromconvectiondiffusion equations (47).”