Chunk #9 — Results — Methods overview.
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Step 1 of mash learns patterns of sparsity, sharing and correlations by estimating covariance matrices U and mixture proportions π in two sub-steps:
Step 1 of mash learns patterns of sparsity, sharing and correlations by estimating covariance matrices U and mixture proportions π in two sub-steps: