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stat.ME2025
Evaluating the Cauchy Combination Test for Count Data
Huda Alsulami, Silvia Liverani
The Cauchy combination test (CCT) is a -value combination method used in multiple-hypothesis testing and is robust under dependence structures. This study aims to evaluate the C…
stat.ME2022
Beyond Conjugacy for Chain Event Graph Model Selection
Aditi Shenvi, Silvia Liverani
Chain event graphs are a family of probabilistic graphical models that generalise Bayesian networks and have been successfully applied to a wide range of domains. Unlike Bayesian n…
stat.ME2022★ 2 cited
Variance matrix priors for Dirichlet process mixture models with Gaussian kernels
Wei Jing, Michail Papathomas, Silvia Liverani
The Dirichlet Process Mixture Model (DPMM) is a Bayesian non-parametric approach widely used for density estimation and clustering. In this manuscript, we study the choice of prior…