jax.scipy.stats.beta.logpdf — JAX documentation (original) (raw)
jax.scipy.stats.beta.logpdf#
jax.scipy.stats.beta.logpdf(x, a, b, loc=0, scale=1)[source]#
Beta log probability distribution function.
JAX implementation of scipy.stats.beta logpdf.
The pdf of the beta function is:
\[f(x, a, b) = \frac{\Gamma(a + b)}{\Gamma(a)\Gamma(b)} x^{a-1}(1-x)^{b-1}\]
where \(\Gamma\) is the gamma() function, It is defined for \(0\le x\le 1\) and \(b>0\).
Parameters:
- x (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, value at which to evaluate the PDF
- 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 logpdf values
Return type:
See also