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added note that sbvm is only accurate for conc <= 10k #1924

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Dec 2, 2024
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added note that sbvm is only accurate for conc <= 10k #1924

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3 changes: 3 additions & 0 deletions numpyro/distributions/directional.py
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Expand Up @@ -320,6 +320,9 @@ class SineBivariateVonMises(Distribution):
.. note:: In the context of :class:`~numpyro.infer.svi.SVI`, this distribution can be used as a likelihood but not
for latent variables.

.. note:: Normalization remains accurate for concentrations up to 10,000. Unlike Pyro, there is no assertion to
verify this during initialization, as JIT-compilation would invalidate such a check.

** References: **
1. Probabilistic model for two dependent circular variables Singh, H., Hnizdo, V., and Demchuck, E. (2002)

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