GRESELIN FRANCESCA

Ruolo: 
Professore associato
Settore scientifico disciplinare: 
STATISTICA (SECS-S/01)
Telefono: 
0264483118
Stanza: 
U07, Piano: P04, Stanza: 4136
Via Bicocca degli Arcimboldi, 8 - 20126 MILANO
Orario di ricevimento: 

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Biografia

Biografia

Francesca Greselin is Associate Professor of Statistics and Qualified Full Professor of Statistics (Italian ASN).

She is a member of the Scientific Board of the Classification and Data Analysis Group  (CLADAG) of the Italian Statistical Society (SIS). 

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 contributes to the literature also 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 for 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 acts as a referee for more than 30 among the leading scientific journals in the field, and she is a member of 9 International Journal Boards. 

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), and a member of the Ph.D. School Board of the University of Milano-Bicocca (since 2017).

She has published more than 40 papers in peer and editor-reviewed international scientific journals, and 43 chapters in peer-reviewed books with ISBN. She did more than 30 invited presentations to international conferences, being a plenary speaker in 5 of them.

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

Scopus Author ID: 25936155400

WebOfScience ResearcherID: A-8770-2015

 

 

Pubblicazioni

  • Davydov, Y., & Greselin, F. (2020). Comparisons Between Poorest and Richest to Measure Inequality. SOCIOLOGICAL METHODS & RESEARCH, 49(2), 526-561. Dettaglio
  • Davydov, Y., & Greselin, F. (2019). Inferential results for a new measure of inequality. ECONOMETRICS JOURNAL, 22(2), 153-172. Dettaglio
  • Cappozzo, A., Greselin, F., & Murphy, T. (2020). A robust approach to model-based classification based on trimming and constraints. ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 14(2), 327-354. Dettaglio
  • Greselin, F., Piacenza, F., & Zitikis, R. (2019). Practice Oriented and Monte Carlo Based Estimation of the Value-at-Risk for Operational Risk Measurement. RISKS, 7(2), 1-20. Dettaglio
  • Garcìa-Escudero, L., Greselin, F., & Iscar, A. (2018). Robust fuzzy and parsimonious clustering based on mixtures of Factor Analyzers. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 94(March 2018), 60-75. Dettaglio