jax.scipy.stats.betabinom.logpmf¶

jax.scipy.stats.betabinom.logpmf(k, n, a, b, loc=0)[source]¶

Log of the probability mass function at k of the given RV.

LAX-backend implementation of logpmf().

Original docstring below.

Parameters

k (array_like) – Quantiles.
arg1 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).
arg2 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).
arg3 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).
... (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).
loc (array_like, optional) – Location parameter. Default is 0.

Returns

logpmf – Log of the probability mass function evaluated at k.

Return type

array_like