gwkokab.inference.numpyro_analytical_poisson_likelihood
=======================================================

.. py:module:: gwkokab.inference.numpyro_analytical_poisson_likelihood


Functions
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.. autoapisummary::

   gwkokab.inference.numpyro_analytical_poisson_likelihood.numpyro_analytical_poisson_likelihood


Module Contents
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.. py:function:: numpyro_analytical_poisson_likelihood(dist_fn: collections.abc.Callable[Ellipsis, numpyro.distributions.Distribution], priors: gwkokab.models.utils.JointDistribution, variables: Dict[str, numpyro.distributions.Distribution], constant_params: Dict[str, Any], variables_index: Dict[str, int], poisson_mean_estimator: collections.abc.Callable[[gwkokab.models.utils.ScaledMixture], tuple[jaxtyping.Array, jaxtyping.Array]], variance_cut_threshold: float | None) -> collections.abc.Callable[[jaxtyping.Array, jaxtyping.Array, Dict[str, Any]], None]