jax.scipy.stats.cauchy.logcdf

jax.scipy.stats.cauchy.logcdf(x, loc=0, scale=1)

Cauchy log cumulative distribution function.

JAX implementation of scipy.stats.cauchy logcdf

The cdf is defined as

\[f_{cdf} = \int_{-\infty}^x f_{pdf}(y) \mathrm{d}y\]

where here \(f_{pdf}\) is the Cauchy probability distribution function, jax.scipy.stats.cauchy.pdf().

Parameters:

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

• 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 logcdf 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.logpdf()

• jax.scipy.stats.cauchy.logsf()

• jax.scipy.stats.cauchy.isf()

• jax.scipy.stats.cauchy.ppf()