Salvatore Ingrassia

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 16

Top Topics

Generalized Linear

Statistical Modeling

Top Venues

Adv. Data Anal. Classif.

Comput. Stat. Data Anal.

Publications

Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy
Special issue on "advances in models and learning for clustering and classification". Adv. Data Anal. Classif. 18 (1) (2024)
Roberto Di Mari, Salvatore Ingrassia, Antonio Punzo
Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models. J. Classif. 40 (2) (2023)
Salvatore Ingrassia, Julien Jacques, Weixin Yao
Special issue on "Models and learning for clustering and Classification". Adv. Data Anal. Classif. 16 (2) (2022)
Salvatore Ingrassia, Julien Jacques, Weixin Yao
Editorial for ADAC issue 1 of volume 16 (2022). Adv. Data Anal. Classif. 16 (1) (2022)
Cinzia Di Nuzzo, Salvatore Ingrassia
A Graphical Approach for the Selection of the Number of Clusters in the Spectral Clustering Algorithm. SIS (2021)
Salvatore Ingrassia, Antonio Punzo
Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition. J. Classif. 37 (2) (2020)
Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia
Special issue on "Innovations on model based clustering and classification". Adv. Data Anal. Classif. 14 (2) (2020)
Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov, Salvatore Ingrassia
On parsimonious models for modeling matrix data. Comput. Stat. Data Anal. 142 (2020)
Jochen Einbeck, John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas
Editorial for the 4th Special Issue on advances in mixture models. Comput. Stat. Data Anal. 132 (2019)
Sylvia Frühwirth-Schnatter, Salvatore Ingrassia, Agustín Mayo-Íscar
Special issue on "Advances on model-based clustering and classification" - Preface by the Guest Editors. Adv. Data Anal. Classif. 13 (1) (2019)
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
Eigenvalues and constraints in mixture modeling: geometric and computational issues. Adv. Data Anal. Classif. 12 (2) (2018)
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints. Stat. Comput. 27 (2) (2017)
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne
Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models. J. Classif. 34 (1) (2017)
Antonio Punzo, Salvatore Ingrassia
Clustering bivariate mixed-type data via the cluster-weighted model. Comput. Stat. 31 (3) (2016)
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers. Comput. Stat. Data Anal. 99 (2016)
John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas
The Third Special Issue on Advances in Mixture Models. Comput. Stat. Data Anal. 93 (2016)
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction. Stat. Methods Appl. 24 (4) (2015)
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
Erratum to: The Generalized Linear Mixed Cluster-Weighted Model. J. Classif. 32 (2) (2015)
Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini
Erratum to: Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions. J. Classif. 32 (3) (2015)
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
The Generalized Linear Mixed Cluster-Weighted Model. J. Classif. 32 (1) (2015)
Francesca Greselin, Salvatore Ingrassia
Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers. Stat. Comput. 25 (2) (2015)
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
Special issue on "Model-based clustering and classification" (part 2). Adv. Data Anal. Classif. 8 (1) (2014)
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
Model-based clustering via linear cluster-weighted models. Comput. Stat. Data Anal. 71 (2014)
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
Special issue on "Model-based clustering and classification". Adv. Data Anal. Classif. 7 (3) (2013)
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
Clustering and classification via cluster-weighted factor analyzers. Adv. Data Anal. Classif. 7 (1) (2013)
Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini
Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions. J. Classif. 29 (3) (2012)
Salvatore Ingrassia, Roberto Rocci
Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints. Comput. Stat. Data Anal. 55 (4) (2011)
Francesca Greselin, Salvatore Ingrassia, Antonio Punzo
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure. Stat. Methods Appl. 20 (2) (2011)
Francesca Greselin, Salvatore Ingrassia
distributions. Stat. Comput. 20 (1) (2010)
Salvatore Ingrassia, Simona C. Minotti, Giuseppe Incarbone
An EM Algorithm for the Student-t Cluster-Weighted Modeling. GfKl (2010)
Francesca Greselin, Salvatore Ingrassia
-Distributions. GfKl (2008)
Salvatore Ingrassia, Roberto Rocci
Constrained monotone EM algorithms for finite mixture of multivariate Gaussians. Comput. Stat. Data Anal. 51 (11) (2007)
Salvatore Ingrassia, Isabella Morlini
Equivalent Number of Degrees of Freedom for Neural Networks. GfKl (2006)
Salvatore Ingrassia, Isabella Morlini
Neural Network Modeling for Small Datasets. Technometrics 47 (3) (2005)
Angelo Gilio, Salvatore Ingrassia
Totally coherent set-valued probability assessments. Kybernetika 34 (1) (1998)
Salvatore Ingrassia
Geometric Approaches to the Estimaton of the Spectral Gap of Reversible Marcov Chains. Comb. Probab. Comput. 2 (1993)