jax.scipy.stats.vonmises.logpdf — JAX documentation (original) (raw)

jax.scipy.stats.vonmises.logpdf#

jax.scipy.stats.vonmises.logpdf(x, kappa)[source]#

von Mises log probability distribution function.

JAX implementation of scipy.stats.vonmises logpdf.

The von Mises probability distribution function is given by

\[f(x, \kappa) = \frac{1}{2\pi I_0(\kappa)}e^{\kappa\cos x}\]

Where \(I_0\) is the modified Bessel function i0()and \(\kappa\ge 0\), and the distribution is normalized in the interval\(-\pi \le x \le \pi\).

Parameters:

• x (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, value at which to evaluate the PDF
• kappa (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution shape parameter

Returns:

array of logpdf values.

Return type:

Array