文章基本信息

标题：Pragmatism should Not be a Substitute for Statistical Literacy, a Commentary on Albers, Kiers, and Van Ravenzwaaij (2018)
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作者：Ladislas Nalborczyk ; Paul-Christian Bürkner ; Donald R. Williams 等
期刊名称：Collabra: Psychology
电子版ISSN：2474-7394
出版年度：2019
卷号：5
期号：1
页码：13-17
DOI：10.1525/collabra.197
出版社：University of California Press
摘要：Based on the observation that frequentist confidence intervals and Bayesian credible intervals sometimes happen to have the same numerical boundaries (under very specific conditions), Albers et al. (2018) proposed to adopt the heuristic according to which they can usually be treated as equivalent. We argue that this heuristic can be misleading by showing that it does not generalise well to more complex (realistic) situations and models. Instead of pragmatism, we advocate for the use of parsimony in deciding which statistics to report. In a word, we recommend that a researcher interested in the Bayesian interpretation simply reports credible intervals.
关键词：Bayesian statistics; Bayes; confidence interval; credible interval