'Log of the inverse Wishart probability density function.
Parameters
x : array_like
Quantiles, with the last axis of `x` denoting the components.
Each quantile must be a symmetric positive definite matrix.
%(_doc_default_callparams)s
Returns
pdf : ndarray
Log of the probability density function evaluated at `x`
Notes
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def logpdf(self, x, df, scale):

    (dim, df, scale) = self._process_parameters(df, scale)
    x = self._process_quantiles(x, dim)
    (_, log_det_scale) = self._cholesky_logdet(scale)
    out = self._logpdf(x, dim, df, scale, log_det_scale)
    return _squeeze_output(out)
