Salvatore Ingrassia

According to our database, Salvatore Ingrassia authored at least 36 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Special issue on "advances in models and learning for clustering and classification".

Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy

Adv. Data Anal. Classif., March, 2024

2023

Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models.

Roberto Di Mari, Salvatore Ingrassia, Antonio Punzo

J. Classif., July, 2023

2022

Special issue on "Models and learning for clustering and Classification".

Salvatore Ingrassia, Julien Jacques, Weixin Yao

Adv. Data Anal. Classif., 2022

Editorial for ADAC issue 1 of volume 16 (2022).

Salvatore Ingrassia, Julien Jacques, Weixin Yao

Adv. Data Anal. Classif., 2022

2021

A Graphical Approach for the Selection of the Number of Clusters in the Spectral Clustering Algorithm.

Cinzia Di Nuzzo, Salvatore Ingrassia

Proceedings of the Studies in Theoretical and Applied Statistics, 2021

2020

On parsimonious models for modeling matrix data.

Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov, Salvatore Ingrassia

Comput. Stat. Data Anal., 2020

Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition.

Salvatore Ingrassia, Antonio Punzo

J. Classif., 2020

Special issue on "Innovations on model based clustering and classification".

Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia

Adv. Data Anal. Classif., 2020

2019

Editorial for the 4th Special Issue on advances in mixture models.

Jochen Einbeck, John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas

Comput. Stat. Data Anal., 2019

Special issue on "Advances on model-based clustering and classification" - Preface by the Guest Editors.

Sylvia Frühwirth-Schnatter, Salvatore Ingrassia, Agustín Mayo-Íscar

Adv. Data Anal. Classif., 2019

2018

Eigenvalues and constraints in mixture modeling: geometric and computational issues.

Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar

Adv. Data Anal. Classif., 2018

2017

Robust estimation of mixtures of regressions with random covariates, via trimming and constraints.

Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar

Stat. Comput., 2017

Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models.

Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne

J. Classif., 2017

2016

Clustering bivariate mixed-type data via the cluster-weighted model.

Antonio Punzo, Salvatore Ingrassia

Comput. Stat., 2016

The Third Special Issue on Advances in Mixture Models.

John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas

Comput. Stat. Data Anal., 2016

The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers.

Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar

Comput. Stat. Data Anal., 2016

2015

Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction.

Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas

Stat. Methods Appl., 2015

Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers.

Francesca Greselin, Salvatore Ingrassia

Stat. Comput., 2015

Erratum to: The Generalized Linear Mixed Cluster-Weighted Model.

Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti

J. Classif., 2015

The Generalized Linear Mixed Cluster-Weighted Model.

Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti

J. Classif., 2015

Erratum to: Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions.

Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini

J. Classif., 2015

2014

Model-based clustering via linear cluster-weighted models.

Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo

Comput. Stat. Data Anal., 2014

Special issue on "Model-based clustering and classification" (part 2).

Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2014

2013

Clustering and classification via cluster-weighted factor analyzers.

Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas

Adv. Data Anal. Classif., 2013

Special issue on "Model-based clustering and classification".

Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2013

2012

Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions.

Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini

J. Classif., 2012

2011

Assessing the pattern of covariance matrices via an augmentation multiple testing procedure.

Francesca Greselin, Salvatore Ingrassia, Antonio Punzo

Stat. Methods Appl., 2011

Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints.

Salvatore Ingrassia, Roberto Rocci

Comput. Stat. Data Anal., 2011

2010

Constrained monotone EM algorithms for mixtures of multivariate <i>t</i> distributions.

Francesca Greselin, Salvatore Ingrassia

Stat. Comput., 2010

An EM Algorithm for the Student-t Cluster-Weighted Modeling.

Salvatore Ingrassia, Simona C. Minotti, Giuseppe Incarbone

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2008

Weakly Homoscedastic Constraints for Mixtures of <i>t</i>-Distributions.

Francesca Greselin, Salvatore Ingrassia

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007

Constrained monotone EM algorithms for finite mixture of multivariate Gaussians.

Salvatore Ingrassia, Roberto Rocci

Comput. Stat. Data Anal., 2007

2006

Equivalent Number of Degrees of Freedom for Neural Networks.

Salvatore Ingrassia, Isabella Morlini

Proceedings of the Advances in Data Analysis, 2006

2005

Neural Network Modeling for Small Datasets.

Salvatore Ingrassia, Isabella Morlini

Technometrics, 2005

1998

Totally coherent set-valued probability assessments.

Angelo Gilio, Salvatore Ingrassia

Kybernetika, 1998

1993

Geometric Approaches to the Estimaton of the Spectral Gap of Reversible Marcov Chains.

Salvatore Ingrassia

Comb. Probab. Comput., 1993