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.betalogcdf.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: