MarginalType.h File Reference

Enumeration of supported one-dimensional marginal distribution types. More...

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Enumerations
enum class	MarginalType { GAUSSIAN , HALF_GAUSSIAN , FLAT , LIKELIHOOD }
	Supported marginal-distribution families. More...

Detailed Description

Enumeration of supported one-dimensional marginal distribution types.

This header defines MarginalType, used by the statistical layer to select which scalar probability law should be attached to a parameter or observable.

Typical workflow:

• a MarginalType is chosen by the user or inference setup,
• MarginalConfigFactory builds the appropriate configuration object from the current parameter/observable metadata,
• DistributionFactory materializes the concrete IMarginalDistribution implementation.

See also

MarginalConfigFactory

DistributionFactory

IMarginalDistribution

Definition in file MarginalType.h.

Enumeration Type Documentation

MarginalType

enum class MarginalType

strong

Supported marginal-distribution families.

These values identify the probability law to use for a scalar nuisance parameter or observable fluctuation.

Enumerator
GAUSSIAN	Symmetric Gaussian marginal.
HALF_GAUSSIAN	Asymmetric / half-Gaussian-like marginal (currently mapped to split Gaussian logic).
FLAT	Uniform (flat) marginal on a finite interval.
LIKELIHOOD	Discrete likelihood-based marginal built from weighted support points.

Definition at line 31 of file MarginalType.h.