Francesca Greselin

25 papers Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
An approach for detecting emerging operational risks from textual data.
Int. J. Data Sci. Anal.
Fabio Piacenza, Francesca Greselin, Davide Di Vincenzo, Ricardas Zitikis
2025 J jnl
Cellwise Outlier Detection in Heterogeneous Populations.
Technometrics
Giorgia Zaccaria, Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
2025 J jnl
Studying Hierarchical Latent Structures in Heterogeneous Populations with Missing Information.
J. Classif.
Francesca Greselin, Giorgia Zaccaria
2023 J jnl
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy.
Stat. Anal. Data Min.
Francesca Greselin, Alina Jedrzejczak, Kamila Trzcinska
2023 J jnl
Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model.
J. Comput. Graph. Stat.
Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
2022 J jnl
Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information.
Stat. Comput.
Francesco Denti, Andrea Cappozzo, Francesca Greselin
2021 J jnl
A two-stage Bayesian semiparametric model for novelty detection with robust prior information.
Stat. Comput.
Francesco Denti, Andrea Cappozzo, Francesca Greselin
2021 J jnl
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis.
Stat. Anal. Data Min.
Francesca Greselin, Thomas Brendan Murphy, Giovanni Camillo Porzio, Domenico Vistocco
2021 J jnl
Robust variable selection for model-based learning in presence of adulteration.
Comput. Stat. Data Anal.
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
2020 J jnl
A robust approach to model-based classification based on trimming and constraints.
Adv. Data Anal. Classif.
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
2020 J jnl
Anomaly and Novelty detection for robust semi-supervised learning.
Stat. Comput.
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
2018 J jnl
Eigenvalues and constraints in mixture modeling: geometric and computational issues.
Adv. Data Anal. Classif.
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
2018 J jnl
Robust, fuzzy, and parsimonious clustering, based on mixtures of Factor Analyzers.
Int. J. Approx. Reason.
Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
2017 J jnl
CLADAG 2015 special issue: Selected papers on classification and data analysis.
Stat. Anal. Data Min.
Paolo Giudici, Francesca Greselin, Thomas Brendan Murphy, Carla Rampichini
2017 J jnl
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints.
Stat. Comput.
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
2016 — conf
Fuzzy Clustering Through Robust Factor Analyzers.
SMPS
Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
2016 J jnl
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers.
Comput. Stat. Data Anal.
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
2015 J jnl
Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers.
Stat. Comput.
Francesca Greselin, Salvatore Ingrassia
2015 J jnl
Parametric Versus Nonparametric Inference on Zenga Index of Inequality: Issues and Evidence From Survey Data.
Commun. Stat. Simul. Comput.
Francesca Greselin, Leo Pasquazzi
2014 J jnl
On the Spectral Decomposition in Normal Discriminant Analysis.
Commun. Stat. Simul. Comput.
Luca Bagnato, Francesca Greselin, Antonio Punzo
2011 J jnl
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure.
Stat. Methods Appl.
Francesca Greselin, Salvatore Ingrassia, Antonio Punzo
2010 J jnl
Constrained monotone EM algorithms for mixtures of multivariate
Stat. Comput.
Francesca Greselin, Salvatore Ingrassia
2009 J jnl
Asymptotic Confidence Intervals for a New Inequality Measure.
Commun. Stat. Simul. Comput.
Francesca Greselin, Leo Pasquazzi
2008 — conf
Weakly Homoscedastic Constraints for Mixtures of
GfKl
Francesca Greselin, Salvatore Ingrassia
1993 — conf
Teaching Software Engineering for the Development of Paraguay.
Software Engineering Education
Gerónimo Bellassai, Luca Cernuzzi, Francesca Greselin