pymc.DiscreteUniform

class pymc.DiscreteUniform(name, *args, **kwargs)

Discrete uniform distribution. The pmf of this distribution is

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

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

Support	\(x \in {lower, lower + 1, \ldots, upper}\)
Mean	\(\dfrac{lower + upper}{2}\)
Variance	\(\dfrac{(upper - lower)^2}{12}\)

Parameters

lower: int

Lower limit.

upper: int

Upper limit (upper > lower).

Methods

DiscreteUniform.__init__(*args, **kwargs)
DiscreteUniform.dist(lower, upper, *args, ...)	Creates a tensor variable corresponding to the cls distribution.
DiscreteUniform.logcdf(lower, upper)	Compute the log of the cumulative distribution function for Discrete uniform distribution at the specified value.
DiscreteUniform.logp(lower, upper)	Calculate log-probability of DiscreteUniform distribution at specified value.
DiscreteUniform.moment(size, lower, upper)

Attributes

rv_class
rv_op