jax.scipy.stats.poisson.cdf#
- jax.scipy.stats.poisson.cdf(k, mu, loc=0)[source]#
Poisson cumulative distribution function.
JAX implementation of
scipy.stats.poissoncdf.The cumulative distribution function is defined as:
\[f_{cdf}(k, p) = \sum_{i=0}^k f_{pmf}(k, p)\]where \(f_{pmf}(k, p)\) is the probability mass function
jax.scipy.stats.poisson.pmf().- Parameters:
k (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, value at which to evaluate the CDF
mu (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
- Returns:
array of cdf values.
- Return type: