61(313):199-203. [5] Ku, Y.-C. & Bloomfield, P., 2010. Generating
   Random Wishart Matrices with Fractional Degrees of Freedom in OX.
arg_constraints = {'covariance_matrix': PositiveDefinite(), 'df': GreaterThan(lower_bound=0), 'precision_matrix': PositiveDefinite(), 'scale_tril': LowerCholesky()}
property covariance_matrix
entropy()
expand(batch_shape, _instance=None)
has_rsample = True
log_prob(value)
property mean
property mode
property precision_matrix
rsample(sample_shape=torch.Size([]), max_try_correction=None)
  Warning:

    In some cases, sampling algorithm based on Bartlett
    decomposition may return singular matrix samples. Several
    tries to correct singular samples are performed by default,
    but it may end up returning singular matrix samples. Singular
    samples may return *-inf* values in *.log_prob()*. In those
    cases, the user should validate the samples and either fix the
