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Cauchy Distribution

doc/source/tutorial/stats/continuous_cauchy.rst

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.. _continuous-cauchy:

Cauchy Distribution

The support is :math:x\in\mathbb{R}.

.. math:: :nowrap:

\begin{eqnarray*} f\left(x\right) & = & \frac{1}{\pi\left(1+x^{2}\right)}\\
F\left(x\right) & = & \frac{1}{2}+\frac{1}{\pi}\tan^{-1}x\\
G\left(q\right) & = & \tan\left(\pi q-\frac{\pi}{2}\right)\\
m_{d} & = & 0\\
m_{n} & = & 0\end{eqnarray*}

No finite moments. This is the :math:t distribution with one degree of freedom.

.. math:: :nowrap:

\begin{eqnarray*} h\left[X\right] & = & \log\left(4\pi\right)\\  & \approx & 2.5310242469692907930.\end{eqnarray*}

Implementation: scipy.stats.cauchy