jax.scipy.special.betainc#
- jax.scipy.special.betainc(a, b, x)[source]#
Regularized incomplete beta function.
LAX-backend implementation of
scipy.special.betainc().Original docstring below.
Computes the regularized incomplete beta function, defined as [1]:
\[I_x(a, b) = \frac{\Gamma(a+b)}{\Gamma(a)\Gamma(b)} \int_0^x t^{a-1}(1-t)^{b-1}dt,\]for \(0 \leq x \leq 1\).
This function is the cumulative distribution function for the beta distribution; its range is [0, 1].
- Parameters:
a (array_like) – Positive, real-valued parameters
b (array_like) – Positive, real-valued parameters
x (array_like) – Real-valued such that \(0 \leq x \leq 1\), the upper limit of integration
- Returns:
Value of the regularized incomplete beta function
- Return type:
scalar or ndarray
References