pymc.Uniform#

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

Continuous uniform log-likelihood.

The pdf of this distribution is

\[f(x \mid lower, upper) = \frac{1}{upper-lower}\]

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

../../../_images/pymc-Uniform-1.png

Support

\(x \in [lower, upper]\)

Mean

\(\dfrac{lower + upper}{2}\)

Variance

\(\dfrac{(upper - lower)^2}{12}\)

Parameters:
lowertensor_like of float, default 0

Lower limit.

uppertensor_like of float, default 1

Upper limit.

Methods

Uniform.dist([lower, upper])

Creates a tensor variable corresponding to the cls distribution.