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Author

M. Rahmouni

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Open access Oct 2026

Bootstrap Confidence Sets for the Number of Components in Finite Mixture Regression Models

Finite mixture regression analyses usually treat the selected number of components as fixed, although neighboring orders may be difficult to distinguish. This paper develops a set-valued procedure for the order of a Gaussian finite mixture regression. A Bayesian information criterion (BIC) fit supplies a reference orde...

M. Rahmouni · 0 citations
Open access Sep 2026

Distributional Frailty Mixtures for Overdispersed Count Regression

Standard finite mixtures of negative binomial regressions allow covariate-dependent means within latent classes but impose constant dispersion within each component. We propose the distributional finite exponential–gamma frailty mixture (D-FEGFM) regression model, which allows component-specific dispersion to depend on...

M. Rahmouni · 0 citations

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