pymc.Uniform

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

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)

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.__init__(*args, **kwargs)
Uniform.dist([lower, upper])	Creates a tensor variable corresponding to the cls distribution.
Uniform.logcdf(lower, upper)
Uniform.logp(lower, upper)
Uniform.moment(size, lower, upper)

Attributes

bound_args_indices
rv_op