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jax.scipy.stats.truncnorm.sf

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jax.scipy.stats.truncnorm.sf#

jax.scipy.stats.truncnorm.sf(x, a, b, loc=0, scale=1)[source]#

Truncated normal distribution log survival function.

JAX implementation of scipy.stats.truncnorm 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.truncnorm.cdf().

Parameters:

  • x – arraylike, value at which to evaluate the SF

  • a – arraylike, distribution shape parameter

  • b – arraylike, distribution shape parameter

  • loc – arraylike, distribution offset parameter

  • scale – arraylike, distribution scale parameter

Returns:

array of sf values.

See also

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