`scipy.stats._multivariate:matrix_normal_gen.pdf`

source: /scipy/stats/_multivariate.py :1371

Signature

def pdf ( self , X , mean = None , rowcov = 1 , colcov = 1 )

Summary

Matrix normal probability density function.

Parameters

X : array_like: Quantiles, with the last two axes of X denoting the components.
mean : array_like, optional: Mean of the distribution (default: None)
rowcov : array_like, optional: Among-row covariance matrix of the distribution (default: 1)
colcov : array_like, optional: Among-column covariance matrix of the distribution (default: 1)

Returns

pdf : ndarray: Probability density function evaluated at X

Notes

If mean is set to None then a matrix of zeros is used for the mean. The dimensions of this matrix are inferred from the shape of rowcov and colcov, if these are provided, or set to 1 if ambiguous.

rowcov and colcov can be two-dimensional array_likes specifying the covariance matrices directly. Alternatively, a one-dimensional array will be be interpreted as the entries of a diagonal matrix, and a scalar or zero-dimensional array will be interpreted as this value times the identity matrix.

Aliases

scipy.stats._multivariate.matrix_normal_gen.pdf