3 papers
stat.ME2026
Leave-one-out testing for node-level differences in Gaussian graphical models
Davide Benussi, Ester Alongi, Erika Banzato
We study two-sample equality testing in Gaussian graphical models. Classical likelihood ratio tests on decomposable graphs admit clique-wise factorizations, offering limited locali…
math.ST2025
Existence of Direct Density Ratio Estimators
Erika Banzato, Mathias Drton, Kian Saraf-Poor +1
Many two-sample problems call for a comparison of two distributions from an exponential family. Density ratio estimation methods provide ways to solve such problems through direct…
stat.ME2018
Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation: theoretical perspective and data-based evaluation
B. J. A. Mertens, E. Banzato, L. C. de Wreede
We investigate the problem of calibration and assessment of predictive rules in prognostic designs when missing values are present in the predictors. Our paper has two key objectiv…