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A point-null mixture prior assigns positive mass to one parameter value and distributes the remaining mass continuously over alternatives. Posterior point mass is obtained by dividing the null component of the marginal density by the full marginal density.

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  1. Bayesian posterior
  2. Bayesian statistics
  3. Statistical inference
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