Research
My work mainly focuses on mixture models, robust statistics, and latent variable models, with applications in different fields such as socio-economics, environmental sciences, and psychometrics.
Specifically, my research interests are:
- model-based clustering;
- robust statistics;
- ultrametric models;
- dimensionality reduction;
- mixed-type data;
- model-based composite indicators.
Ongoing projects
-
Mixtures of Disjoint Factor Analyzers
Manuscript in preparation -
Parsimonious Ultrametric Mixture Models for Matrix-Variate Data
with Alexa Sochaniwsky and Paul McNicholas
Manuscript in preparation -
cellMMCD: Cellwise Matrix-Variate MCD
with Marcus Mayrhofer, Francesca Greselin, and Peter Filzmoser
Manuscript in preparation -
Fuzzy and Robust Spectral Data Embedding
with Cinzia Di Nuzzo
Manuscript in preparation -
Mixtures of Ultrametric Contaminated Normal Distributions
with Matteo Mascetti
Manuscript in preparation