scipy.stats._continuous_distns:invgamma_gen

Notes

The probability density function for invgamma is:

for $x>=0$, $a>0$. $\Gamma$ is the gamma function (scipy.special.gamma).

invgamma takes a as a shape parameter for $a$.

invgamma is a special case of gengamma with c=-1, and it is a different parameterization of the scaled inverse chi-squared distribution. Specifically, if the scaled inverse chi-squared distribution is parameterized with degrees of freedom $\nu$ and scaling parameter ${\tau }^2$, then it can be modeled using invgamma with a= $\nu /2$ and scale= $\nu {\tau }^2/2$.

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