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Francesca Greselin
Francesca Greselin
Department of Statistics and Quantitative Methods, University of Milano-Bicocca
Verified email at unimib.it - Homepage
Title
Cited by
Cited by
Year
Zenga's new index of economic inequality, its estimation, and an analysis of incomes in Italy
F Greselin, L Pasquazzi, R Zitikis
Journal of Probability and Statistics 2010, 2010
702010
-functions, processes, and statistics in measuring economic inequality and actuarial risks
F Greselin, ML Puri, R Zitikis
Statistics and Its Interface 2 (2), 227-245, 2009
682009
Constrained monotone EM algorithms for mixtures of multivariate t distributions
F Greselin, S Ingrassia
Statistics and computing 20 (1), 9-22, 2010
582010
Contrasting the Gini and Zenga indices of economic inequality
F Greselin, L Pasquazzi, R Zitikis
Journal of Applied Statistics 40 (2), 282-297, 2013
542013
Asymptotic confidence intervals for a new inequality measure
F Greselin, L Pasquazzi
Communications in Statistics-Simulation and Computation 38 (8), 1742-1756, 2009
492009
Socio-economic evaluation with ordinal variables: integrating counting and poset approaches
M Fattore, F Maggino, F Greselin
Statistica & applicazioni 1 (2011), 31-42, 2011
352011
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints
LA García-Escudero, A Gordaliza, F Greselin, S Ingrassia, A Mayo-Íscar
Statistics and Computing 27 (2), 377-402, 2017
312017
From the classical Gini index of income inequality to a new Zenga-type relative measure of risk: A modeller’s perspective
F Greselin, R Zitikis
Econometrics 6 (1), 4, 2018
292018
Heavy tailed capital incomes: Zenga index, statistical inference, and ECHP data analysis
F Greselin, L Pasquazzi, R Zitikis
Extremes 17 (1), 127-155, 2014
252014
Counting and enumerating frequency tables with given margins
F Greselin
IT 1 (2), 87-104, 2003
242003
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers
LA García-Escudero, A Gordaliza, F Greselin, S Ingrassia, A Mayo-Iscar
Computational Statistics & Data Analysis 99, 131-147, 2016
232016
Eigenvalues and constraints in mixture modeling: geometric and computational issues
LA García-Escudero, A Gordaliza, F Greselin, S Ingrassia, A Mayo-Iscar
Advances in Data Analysis and Classification 12 (2), 203-233, 2018
222018
The variance of Gini’s mean difference and its estimators
M Zenga, M Polisicchio, F Greselin
Statistica 64 (3), 455-475, 2004
222004
Closed Likelihood-Ratio Testing Procedures to Assess Similarity of Covariance Matrices
F Greselin, A Punzo
The American Statistician 67 (3), 117-128, 2013
212013
Anomaly and Novelty detection for robust semi-supervised learning
A Cappozzo, F Greselin, TB Murphy
Statistics and Computing 30 (5), 1545-1571, 2020
202020
Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers
F Greselin, S Ingrassia
Statistics and Computing 25 (2), 215-226, 2015
202015
A robust approach to model-based classification based on trimming and constraints
A Cappozzo, F Greselin, TB Murphy
Advances in Data Analysis and Classification 14 (2), 327-354, 2020
192020
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure
F Greselin, S Ingrassia, A Punzo
Statistical Methods & Applications 20 (2), 141-170, 2011
182011
More Equal and Poorer, or Richer but More Unequal?
F Greselin
Economic Quality Control 29 (2), 99-117, 2014
152014
Comparisons between poorest and richest to measure inequality
Y Davydov, F Greselin
Sociological Methods & Research 49 (2), 526-561, 2020
142020
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