jax.scipy.stats.expon.logpdf

jax.scipy.stats.expon.logpdf(x, loc=0, scale=1)

Exponential log probability distribution function.

JAX implementation of scipy.stats.expon logpdf.

The Exponential probability distribution function is

\[\begin{split}f(x) = \begin{cases} e^{-x} & x \ge 0 \\ 0 & \mathrm{otherwise} \end{cases}\end{split}\]

Parameters:

• x (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, value at which to evaluate the PDF

• loc (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, distribution offset parameter

• scale (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, distribution scale parameter

Returns:

array of logpdf values.

Return type:

Array

See also

jax.scipy.stats.expon.pdf()