pymc.Geometric

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

Geometric log-likelihood.

The probability that the first success in a sequence of Bernoulli trials occurs on the x’th trial. The pmf of this distribution is

\[f(x \mid p) = p(1-p)^{x-1}\]

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

Support	\(x \in \mathbb{N}_{>0}\)
Mean	\(\dfrac{1}{p}\)
Variance	\(\dfrac{1 - p}{p^2}\)

Parameters:

ptensor_like of float

Probability of success on an individual trial (0 < p <= 1).

Methods

Geometric.dist(p, *args, **kwargs)

Creates a tensor variable corresponding to the cls distribution.