3 papers
stat.ME2026
Globally aligned Principal Component Analysis for multi-group data
Hedayat Fathi, Marzia A. Cremona, Federico Severino
We propose a novel principal component analysis (PCA) for multi-group datasets, where the same numerical variables are measured across different groups of observations. Existing ap…
stat.ME2026
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model
Yvelin Gansou, Karim Oualkacha, Marzia Angela Cremona +1
Understanding how genetic and epigenetic factors jointly influence binary health outcomes remains a major challenge in biomedical research. We propose a global test for the overall…
stat.ME2026
Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models
Hedayat Fathi, Marzia A. Cremona, Federico Severino
In the framework of scalar-on-function regression models, in which several functional variables are employed to predict a scalar response, we propose a methodology for selecting re…