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    Gaussian kernel density weight question (in Python)

    Hi, I'm trying to decipher some code ... class Gaussian(BaseKernel): def _compute_weights(self): if not self.fix_boundary: return(1.) weights = np.zeros(self.data.shape[0]) for i,d in enumerate(self.data): weights =...
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    Combining Benjamini-Hochberg with statistical power calculations

    Suppose I am investigating a question which involves e.g., many statistical T-tests. The normal Benjamini-Hochberg procedures tells me how to control the false discovery rate. However, suppose that some or many of these tests do not have sufficient statistical power i.e., it falls below 0.8...