📝 SummarXiv

Abstract

Frank Porter has recently posted a review of "Confidence intervals for the Poisson distribution" (arXiv:2509.02852). The long, diverse history of such intervals is closely related to that of confidence intervals for the parameter of the binomial distribution. While much of Porter's paper is enlightening and food for thought, I believe that his discussion of the intervals advocated by Gary Feldman and myself (FC) based on the likelihood ratio test (arXiv:physics/9711021) is flawed. The fundamental point of disagreement is whether or not the likelihood function exists in a part of parameter space where the statistical model does not exist. (The new paper says yes; FC say no.) Here, I focus mainly on that issue and the consequences, along with a few other remarks.