jax.scipy.stats.cauchy.ppf

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

Cauchy distribution percent point function.

JAX implementation of scipy.stats.cauchy ppf.

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

Parameters:

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

• 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 ppf values.

Return type:

Array

See also

• jax.scipy.stats.cauchy.cdf()

• jax.scipy.stats.cauchy.pdf()

• jax.scipy.stats.cauchy.sf()

• jax.scipy.stats.cauchy.logcdf()

• jax.scipy.stats.cauchy.logpdf()

• jax.scipy.stats.cauchy.logsf()

• jax.scipy.stats.cauchy.isf()