pymc.HalfCauchy#

class pymc.HalfCauchy(name, *args, rng=None, dims=None, initval=None, observed=None, total_size=None, transform=UNSET, default_transform=UNSET, **kwargs)[source]#

Half-Cauchy log-likelihood.

The pdf of this distribution is

\[f(x \mid \beta) = \frac{2}{\pi \beta [1 + (\frac{x}{\beta})^2]}\]

(Source code, png, hires.png, pdf)

../../../_images/pymc-HalfCauchy-1.png

Support	\(x \in [0, \infty)\)
Mode	0
Mean	undefined
Variance	undefined

Parameters:

betatensor_like of float: Scale parameter (beta > 0).

Methods

HalfCauchy.dist(beta, *args, **kwargs)

Creates a tensor variable corresponding to the cls distribution.