jax.scipy.stats.beta.logcdf — JAX documentation (original) (raw)
jax.scipy.stats.beta.logcdf#
jax.scipy.stats.beta.logcdf(x, a, b, loc=0, scale=1)[source]#
Beta log cumulative distribution function.
JAX implementation of scipy.stats.beta logcdf.
The cdf is defined as
\[f_{cdf}(x, a, b) = \int_{-\infty}^x f_{pdf}(y, a, b)\mathrm{d}y\]
where \(f_{pdf}\) is the beta distribution probability density function,jax.scipy.stats.beta.pdf().
Parameters:
- x (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, value at which to evaluate the CDF
- a (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution shape parameter
- b (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution shape parameter
- 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:
See also