`scipy.stats._multivariate:multivariate_t_gen.logpdf`

Signature

def logpdf ( self , x , loc = None , shape = 1 , df = 1 )

Log of the multivariate t-distribution probability density function.

x : array_like: Points at which to evaluate the log of the probability density function.
loc : array_like, optional: Location of the distribution. (default 0)
shape : array_like, optional: Positive semidefinite matrix of the distribution. (default 1)
df : float, optional: Degrees of freedom of the distribution; must be greater than zero. If np.inf then results are multivariate normal. The default is 1.
allow_singular : bool, optional: Whether to allow a singular matrix. (default False)

from scipy.stats import multivariate_t
x = [0.4, 5]
loc = [0, 1]
shape = [[1, 0.1], [0.1, 1]]
df = 7

✓

multivariate_t.logpdf(x, loc, shape, df)

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