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Showing 2025 · stat.MEShow all
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stat.ME2025
A flexible class of latent variable models for the analysis of antibody response data
Emanuele Giorgi, Jonas Wallin
Existing approaches to modelling antibody concentration data are mostly based on finite mixture models that rely on the assumption that individuals can be divided into two distinct…
stat.ME2025
Comment on arXiv:2202.01553: The Distribution of a Gaussian Covariate Statistic
Joe Whittaker
This is a comment on arXiv:2202.01553. In regression Gaussian covariate p-values (Davies and D{ü}mbgen, arXiv:2202.01553) are used to control greedy forward subset selection by acc…
stat.ME2025★ 1 cited
Neural Bayes estimation and selection for complex bivariate extremal dependence models
Lídia M. André, Jennifer L. Wadsworth, Raphaël Huser
Likelihood-free approaches are appealing for performing inference on complex dependence models, either because it is not possible to formulate a likelihood function, or its evaluat…