GRESELIN FRANCESCA

Her research activity is mainly devoted to  Mixture Models within the classification framework, by Gaussian, t-mixtures, skew distributions, and mixtures of factor analyzers; with emphasis on theoretical properties of the robust estimation, using trimming and constraints. Applications of such classification methods can be found, for instance, in (big) spectroscopic data for food authenticity studies.
She also contributes to the literature in the field of Economic inequality,  focusing on inequality measures, their properties, statistical inference, limit theorems, and their applications.
Computational Statistics is a needed tool within these research streams, we may find Francesca’s contributions in developing new algorithms, for the maximum likelihood estimation in presence of incomplete data (as the EM), under constraints (patterned covariance matrices), for robust estimation and sampling from huge sample spaces, by complete enumeration (Fréchet class for association measures) or by Markov chains (Partial order sets and their linear extensions).

She is Associate Editor of Statistics and Computing and is a member of 9 International Journal Boards. She also acts as a referee for more than 30 leading scientific journals in the field. 

She is a Reviewer of Discovery Grants for the Natural Sciences and Engineering Research Council of Canada (NSERC) since 2011; Reviewer for research applications submitted to the Research Foundation - Flanders (Fonds Wetenschappelijk Onderzoek - Vlaanderen, FWO), an independent funding agency that supports fundamental research in all disciplines in Flanders (Belgium) (since 2012); and member of the REPRISE team, Register of Expert Peer Reviewers for Italian Scientific Evaluation, appointed by Italian Ministry of Education, University and Research (MIUR), for activities related to the funding of proposals, or ex-ante, in itinere, and ex-post evaluation of research projects.

She is a member of the Commission for International Programmes and Mobility (from 09/09/2015),  a member of the Ph.D. School Board of the University of Milano-Bicocca (since 2017), and Vice Coordinator of the Ph.D. School in Statistics and Mathematical Finance (XXXIII Cycle).

She has been appointed to the  Inter-University working group (University of Milano-Bicocca, University of Milano, University of Pavia) for the establishment of two Master's degree courses on Artificial Intelligence (appointed in February 2021). 

She is a member of the Group on Gender Studies of the Milano-Bicocca University,  to analyze current trends, write the Bicocca 2021 Gender Balance Report, and devise specific positive actions to reduce the Gender Gap, within the Gender Equality Plan 2022.

She has published more than 40 papers in peer and editor-reviewed international scientific journals, and around 60 further publications with ISBN. She did more than 30 invited presentations to international conferences, being a plenary speaker in 8 of them.

ORCID ID https://orcid.org/0000-0003-2929-1748 

Scopus Author ID: 25936155400

WebOfScience ResearcherID: A-8770-2015