机构:
Univ Trieste, Dept Econ Business Math & Stat Bruno Finetti, Via Valerio 4-1, I-34127 Trieste, ItalyUniv Trieste, Dept Econ Business Math & Stat Bruno Finetti, Via Valerio 4-1, I-34127 Trieste, Italy
Egidi, Leonardo
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机构:
[1] Univ Trieste, Dept Econ Business Math & Stat Bruno Finetti, Via Valerio 4-1, I-34127 Trieste, Italy
Mixture prior distributions are much used in statistical applications, such as clinical trials, especially to avoid prior-data conflicts. We explicitly prove that the effective sample size (ESS) of a mixture prior rarely exceeds the ESS of any individual mixture component density of the prior. (c) 2021 Elsevier B.V. All rights reserved.