MixturePrior

class uvex_transients.models.core.priors.MixturePrior(components: tuple[Prior, ...], weights: ndarray)

Weighted mixture of component priors.

The density is the weighted sum of the components’ densities,

\[p(x) = \sum_i w_i\,p_i(x),\]

with weights normalized to sum to 1.

components

The mixture’s component distributions.

Type:

tuple of Prior

weights

Relative weight of each component, in the same order as components. Need not sum to 1; normalized internally.

Type:

ndarray

Methods

cdf(x)	Evaluate the cumulative distribution function.
logcdf(x)	Evaluate the log cumulative distribution function.
logpdf(x)	Evaluate the log probability density function.
logpmf(x)	Evaluate the log probability mass function.
pdf(x)	Evaluate the probability density function.
pmf(x)	Evaluate the probability mass function.
registry()	dict[str, type[Prior]]: A copy of every concrete Prior subclass, keyed by DISTRIBUTION_NAME.
sample([size, rng])	Draw random samples from the prior.

Attributes

DISTRIBUTION_NAME	The public-facing name of this distribution prior class.
name	Human-readable name of the distribution.
support	the union of every component's support, (min(lowers), max(uppers)).
components
weights