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(Solution) - Asymptotics take on a different meaning in the Bayesian estimati

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Asymptotics take on a different meaning in the Bayesian estimation context, since parameters do not ?converge? to a population quantity. Nonetheless, in a Bayesian estimation setting, as the sample size increases, the likelihood function will dominate the posterior density. What does this imply about the Bayesian ?estimator? when this occurs?


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This question was answered on: Jul 11, 2017

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