Rejecting or Accepting Parameter Values in Bayesian Estimation 论文

2018Advances in Methods and Practices in Psychological Science引用 730顶会

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal InferenceStatistical Methods in Clinical Trials

Statistical Methods and Bayesian Inference Bayesian Modeling and Causal Inference Statistical Methods in Clinical Trials

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This article explains a decision rule that uses Bayesian posterior distributions as the basis for accepting or rejecting null values of parameters. This decision rule focuses on the range of plausible values indicated by the highest density interval of the posterior distribution and the relation between this range and a region of practical equivalence (ROPE) around the null value. The article also discusses considerations for setting the limits of a ROPE and emphasizes that analogous considerations apply to setting the decision thresholds for p values and Bayes factors.

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John K. Kruschke

Rejecting or Accepting Parameter Values in Bayesian Estimation 论文

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