Field-level inference

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, cosmology.

Formalism

Implicit forms

Moment networks.

Applications

Cosmology.

References

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