Author

Hung Tong

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Preprint Aug 2026

A Unified Framework for Heterogeneity, Contamination, and Missing Data in Multivariate Regression

Missing values, atypical observations, and heterogeneity across latent groups are common sources of complexity in regression data. The contaminated Gaussian cluster-weighted model (CG-CWM) provides a natural framework for handling atypical observations, including outliers and leverage points, in model-based clustering....

Hung Tong, C. Tortora, A. Punzo · 0 citations

Preprint Aug 2026

A New Look at Gaussian Mixtures in the Presence of Missing-at-Random Responses and Covariates

Missing values present a common challenge in statistical modeling, so handling them properly is an important research direction. Among the various mechanisms that can generate missing values, the most common is the missing-at-random (MAR) mechanism, in which the probability of missingness depends only on observed data...

Hung Tong, A. Punzo, C. Tortora · 1 citation · ⚡1