Distributions
=============

.. contents:: Modules
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   :depth: 1

Each mixture family (Variance Gamma, Normal-Inverse Gamma, Normal-Inverse
Gaussian, Generalized Hyperbolic) documents four classes from one module: the
joint :math:`(X,Y)` law, the marginal-of-:math:`X` law, a scalar
(:math:`d=1`) convenience wrapper, and the factor-analysis variant.

Univariate Distributions
-------------------------

Gamma
^^^^^

.. automodule:: normix.distributions.gamma
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Inverse Gamma
^^^^^^^^^^^^^

.. automodule:: normix.distributions.inverse_gamma
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Inverse Gaussian
^^^^^^^^^^^^^^^^

.. automodule:: normix.distributions.inverse_gaussian
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Generalized Inverse Gaussian
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. automodule:: normix.distributions.generalized_inverse_gaussian
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   :undoc-members:
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Multivariate Distributions
---------------------------

.. automodule:: normix.distributions.normal
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Mixture Distributions
----------------------

Variance Gamma
^^^^^^^^^^^^^^

.. automodule:: normix.distributions.variance_gamma
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Normal Inverse Gamma
^^^^^^^^^^^^^^^^^^^^

.. automodule:: normix.distributions.normal_inverse_gamma
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Normal Inverse Gaussian
^^^^^^^^^^^^^^^^^^^^^^^

.. automodule:: normix.distributions.normal_inverse_gaussian
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Generalized Hyperbolic
^^^^^^^^^^^^^^^^^^^^^^

.. automodule:: normix.distributions.generalized_hyperbolic
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