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Likelihoods of one latent, for @integrate (docs/semantics.md, section
13): what observations whose parameters are outcomes of the latent say
about it, as a weight on its distribution. The latent keeps its
distribution and its CDF coordinates u, and its posterior there has
the density w(u) ∝ Π L(x(u)) for x(u) its quantile. Probabilities,
quantiles and moments come from integrating w numerically, to a relative
tolerance, with a table of its integral shared by every question.
Structs§
- Factor
- One observation of
valuefromlaw, with its parameters. - Likelihood
- The product of what observations of a latent say about it, as a weight on its distribution, with the table of its integral.
Enums§
- Law
- The distribution an observation is from.
- Param
- A parameter of an observation: a number, or an outcome of the latent, by its pieces in the latent’s coordinates.
Type Aliases§
- Moment
Key - An outcome’s pieces and domain, which its moments are of.