PowerLawPrior

class uvex_transients.models.core.priors.PowerLawPrior(alpha: float, lower: float, upper: float)

Continuous power-law prior.

The probability density is

\[\begin{split}p(x) \\propto x^{-\\alpha},\end{split}\]

over the interval [lower, upper].

alpha

Power-law index.

Type:

float

lower

Lower bound.

Type:

float

upper

Upper bound.

Type:

float

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	(lower, upper).
alpha
lower
upper