Bayesian Data Analysis by Andrew Gelman and others 2026-11-05
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By Andrew Gelman, John Carlin, Hal S. Stern, David Dunson, Aki Vehtari and Donald Rubin, as credited on the author-hosted book homepage. Third edition.
The homepage supplies the author list and an authorized PDF for noncommercial use. Cited here for the coauthorship of Hal S. Stern and the textbook’s Bayesian subject.
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Hal S. Stern Created 2026-10-25 Updated 2026-11-05
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Hal S. Stern is a statistician whose research includes Bayesian statistics and the analysis of forensic evidence. He is a coauthor of Bayesian Data Analysis by Andrew Gelman and others and of the article with Andrew Gelman explaining why a difference between statistical significance and nonsignificance need not itself be statistically significant. This distinction separates the comparison of two estimated effects from two separate hypothesis tests.[ref]
Figure 1.
Portrait of Hal S. Stern
. Photograph linked by the author’s University of California, Irvine homepage; photographer and licence are not asserted. Source.
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