jax.scipy.stats.pareto.logpdf#

jax.scipy.stats.pareto.logpdf(x, b, loc=0, scale=1)[source]#

Log of the probability density function at x of the given RV.

LAX-backend implementation of scipy.stats._distn_infrastructure.logpdf().

Original docstring below.

This uses a more numerically accurate calculation if available.

Parameters

  • x (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=0)

  • scale (array_like, optional) – scale parameter (default=1)

  • b (Union[Array, ndarray, bool_, number, bool, int, float, complex]) –

Returns

logpdf – Log of the probability density function evaluated at x

Return type

array_like