Salvatore Ingrassia

39 papers Journal 34Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Uncertain model selection criteria for mixture modeling.
Stat. Comput.
Volodymyr Melnykov, Salvatore Ingrassia
2025 J jnl
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data.
Stat. Comput.
Victor H. Lachos, Salvatore D. Tomarchio, Antonio Punzo, Salvatore Ingrassia
2024 J jnl
Special issue on "advances in models and learning for clustering and classification".
Adv. Data Anal. Classif.
Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy
2023 J jnl
Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models.
J. Classif.
Roberto Di Mari, Salvatore Ingrassia, Antonio Punzo
2022 J jnl
Editorial for ADAC issue 1 of volume 16 (2022).
Adv. Data Anal. Classif.
Salvatore Ingrassia, Julien Jacques, Weixin Yao
2022 J jnl
Special issue on "Models and learning for clustering and Classification".
Adv. Data Anal. Classif.
Salvatore Ingrassia, Julien Jacques, Weixin Yao
2021 — conf
A Graphical Approach for the Selection of the Number of Clusters in the Spectral Clustering Algorithm.
SIS
Cinzia Di Nuzzo, Salvatore Ingrassia
2020 J jnl
Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition.
J. Classif.
Salvatore Ingrassia, Antonio Punzo
2020 J jnl
On parsimonious models for modeling matrix data.
Comput. Stat. Data Anal.
Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov, Salvatore Ingrassia
2020 J jnl
Special issue on "Innovations on model based clustering and classification".
Adv. Data Anal. Classif.
Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia
2019 J jnl
Editorial for the 4th Special Issue on advances in mixture models.
Comput. Stat. Data Anal.
Jochen Einbeck, John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas
2019 J jnl
Special issue on "Advances on model-based clustering and classification" - Preface by the Guest Editors.
Adv. Data Anal. Classif.
Sylvia Frühwirth-Schnatter, Salvatore Ingrassia, Agustín Mayo-Íscar
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
2017 J jnl
Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models.
J. Classif.
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne
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 J jnl
Clustering bivariate mixed-type data via the cluster-weighted model.
Comput. Stat.
Antonio Punzo, Salvatore Ingrassia
2016 J jnl
The Third Special Issue on Advances in Mixture Models.
Comput. Stat. Data Anal.
John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas
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
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction.
Stat. Methods Appl.
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
2015 J jnl
Erratum to: Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions.
J. Classif.
Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini
2015 J jnl
Erratum to: The Generalized Linear Mixed Cluster-Weighted Model.
J. Classif.
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
2015 J jnl
Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers.
Stat. Comput.
Francesca Greselin, Salvatore Ingrassia
2015 J jnl
The Generalized Linear Mixed Cluster-Weighted Model.
J. Classif.
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
2014 J jnl
Model-based clustering via linear cluster-weighted models.
Comput. Stat. Data Anal.
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
2014 J jnl
Special issue on "Model-based clustering and classification" (part 2).
Adv. Data Anal. Classif.
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
2013 J jnl
Clustering and classification via cluster-weighted factor analyzers.
Adv. Data Anal. Classif.
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
2013 J jnl
Special issue on "Model-based clustering and classification".
Adv. Data Anal. Classif.
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
2013 — book
Statistical Models for Data Analysis
Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
2012 J jnl
Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions.
J. Classif.
Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini
2011 J jnl
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure.
Stat. Methods Appl.
Francesca Greselin, Salvatore Ingrassia, Antonio Punzo
2011 J jnl
Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints.
Comput. Stat. Data Anal.
Salvatore Ingrassia, Roberto Rocci
2010 — conf
An EM Algorithm for the Student-t Cluster-Weighted Modeling.
GfKl
Salvatore Ingrassia, Simona C. Minotti, Giuseppe Incarbone
2010 J jnl
Constrained monotone EM algorithms for mixtures of multivariate
Stat. Comput.
Francesca Greselin, Salvatore Ingrassia
2008 — conf
Weakly Homoscedastic Constraints for Mixtures of
GfKl
Francesca Greselin, Salvatore Ingrassia
2007 J jnl
Constrained monotone EM algorithms for finite mixture of multivariate Gaussians.
Comput. Stat. Data Anal.
Salvatore Ingrassia, Roberto Rocci
2006 — conf
Equivalent Number of Degrees of Freedom for Neural Networks.
GfKl
Salvatore Ingrassia, Isabella Morlini
2005 J jnl
Neural Network Modeling for Small Datasets.
Technometrics
Salvatore Ingrassia, Isabella Morlini
1998 J jnl
Totally coherent set-valued probability assessments.
Kybernetika
Angelo Gilio, Salvatore Ingrassia
1993 J jnl
Geometric Approaches to the Estimaton of the Spectral Gap of Reversible Marcov Chains.
Comb. Probab. Comput.
Salvatore Ingrassia