bundles / scipy latest / scipy / stats / _multivariate / matrix_t_frozen / pdf
function
scipy.stats._multivariate:matrix_t_frozen.pdf
Signature
def pdf ( self , X ) Summary
Matrix t probability density function.
Parameters
X: array_likeQuantiles, with the last two axes of
Xdenoting the components.
Returns
pdf: ndarrayProbability density function evaluated at
X
Notes
See class definition for a detailed description of parameters.
Examples
import numpy as np from scipy.stats import matrix_t✓
M = np.arange(6).reshape(3,2); M Sigma = np.diag([1,2,3]); Sigma Omega = 0.3*np.identity(2); Omega X = M + 0.1; X✗
df = 3; df
✓matrix_t.logpdf(X, mean=M, row_spread=Sigma, col_spread=Omega, df=df)
✗Aliases
-
scipy.stats._multivariate.matrix_t_frozen.pdf