Field-level inference
From EverybodyWiki Bios & Wiki
Field-level inference (FLI) is the specific process of statistical inference that involves working on continuous spatial fields as the unknown latent space. Typically, the observations are themselves put on sparse, heavily masked, spatial grid, over which a likelihood function may be expressed. The technique heavily relies on the use of Bayes' rule. Field-level inference is used heavily in climatology and cosmology.
Formalism
Prior choice
Fully explicit form
Likelihood function
Statistical exploration
Implicit forms
Moment networks.
Applications
Cosmology.
References
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