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]
Portrait of Hal S. Stern
. Photograph linked by the author’s University of California, Irvine homepage; photographer and licence are not asserted. Source. New to topics? Read the docs here!