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src/n/i/nipy-0.3.0/nipy/algorithms/statistics/empirical_pvalue.py   nipy(Download)
    """
    from ..clustering.bgmm import VBGMM
    from ..clustering.gmm import GridDescriptor
 
    nvox = np.size(x)
    # create a sampling grid
    if (verbose or bias):
        gd = GridDescriptor(1)
        gd.set([x.min(), x.max()], 100)
        gdm = gd.make_grid().squeeze()