jax.scipy.stats.expon.ppf

jax.scipy.stats.expon.ppf(q, loc=0, scale=1)

Exponential survival function.

JAX implementation of scipy.stats.expon ppf.

The percent point function is defined as the inverse of the cumulative distribution function, jax.scipy.stats.expon.cdf().

Parameters:

• x – 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

• q (Array | ndarray | bool | number | bool | int | float | complex)

Returns:

array of pdf values.

Return type:

Array

See also

jax.scipy.stats.expon.cdf() jax.scipy.stats.expon.pdf() jax.scipy.stats.expon.ppf() jax.scipy.stats.expon.sf() jax.scipy.stats.expon.logcdf() jax.scipy.stats.expon.logpdf() jax.scipy.stats.expon.logsf()