Chunk #10 — 2 Model — 2.1 Likelihood function

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FINEMAP: efficient variable selection using summary data from genome-wide association studies.

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When m is large but λ has only very few non-zero elements, the MLE alone is not ideal since it does not account for the sparsity assumption (Fig. 1). Thus, we take a Bayesian approach with a prior distribution that induces sparsity among causal effects.