def normalize(self, x):
        std_ = np.atleast_2d(self.std_sigma)
        return (x - self.mean)/std_ #/std_.T
normalize the random variable, i.e. subtract mean and rescale
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/sandbox/distributions/mv_normal.py/MVElliptical.normalize