A maximum marginal likelihood estimator chooses a hyperparameter by maximizing the data density obtained after integrating the model parameter against its prior distribution.

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  1. Empirical Bayes method
  2. Bayesian statistics
  3. Statistical inference
  4. Probability and statistics
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