jax.scipy.stats.norm.logsf#

jax.scipy.stats.norm.logsf(x, loc=0, scale=1)[source]#

Normal distribution log survival function.

JAX implementation of scipy.stats.norm logsf.

The survival function is defined as

\[f_{sf}(x) = 1 - f_{cdf}(x)\]

where \(f_{cdf}(x)\) is the cumulative distribution function, jax.scipy.stats.norm.cdf().

Parameters:

x (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, value at which to evaluate the SF
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 logsf values.

Return type:

Array

jax.scipy.stats.norm.logsf