Simona Pacillo

My research interests lie in the area of methodological and applied statistics, with particular emphasis on flexible models, robust methods, and statistical learning techniques. In particular, I have worked on the development and application of asymmetric distributions, such as the Skew Normal and Skew-t distributions, graphical models, and model selection procedures for concentration graphs, with attention to robustness issues. A further area of research concerns the analysis of algorithms for the estimation of generalized linear models with convex penalties, considering both computational aspects and the statistical properties of the estimators. These research lines have recently been integrated with methodological and applied studies in econometrics and robust statistics, particularly through the development of trimming-based procedures for geometric fitting problems and reversible linear functional regression.