Likelihood ratio tests are standard statistical tools used in particle physics to perform tests of
hypotheses. The null distribution of the likelihood ratio test statistic is often assumed to be χ …

A bstract In this paper we study the bounds that can be inferred on New Physics couplings to
heavy sterile neutrinos N from the recent measurements performed by the Belle …

Particle physics experiments use likelihood ratio tests extensively to compare hypotheses
and to construct confidence intervals. Often, the null distribution of the likelihood ratio test …

In this study, we employ a multilevel analysis to investigate the relative importance of
industry, business group, corporation, and business unit effects on the performance of …

We propose a hierarchical semi-supervised variational semi-Bayesian Gaussian mixture
classifier based on the partially incomplete and unlabeled samples for the fault diagnosis of …

We derive asymptotic properties of penalized estimators for singular models for which
identifiability may break and the true parameter values can lie on the boundary of the …

The limiting distributions of statistics used to test hypotheses about parameters on the
boundary of their domains may provide very poor approximations to the finite‐sample …

Consider a binary mixture model of the form $ F_\theta=(1-\theta) F_0+\theta F_1 $, where $
F_0 $ is standard Gaussian and $ F_1 $ is a completely specified heavy-tailed distribution …

arxiv:2303.17689v1 [math.ST] 30 Mar 2023 Page 1 Discussion of “A note on universal inference”
by Timmy Tse and Anthony Davison Mathias Drton, Hongjian Shi, David Strieder December …

The traditional expectation-maximization (EM) algorithm is a general purpose algorithm for
maximum likelihood estimation in problems with incomplete data. Several variants of the …