Local statistical modeling via a cluster-weighted approach with elliptical distributions S Ingrassia, SC Minotti, G Vittadini
Journal of classification 29, 363-401, 2012
140 2012 Constrained monotone EM algorithms for finite mixture of multivariate Gaussians S Ingrassia, R Rocci
Computational Statistics & Data Analysis 51 (11), 5339-5351, 2007
127 2007 Model-based clustering via linear cluster-weighted models S Ingrassia, SC Minotti, A Punzo
Computational Statistics & Data Analysis 71, 159-182, 2014
103 2014 A likelihood-based constrained algorithm for multivariate normal mixture models S Ingrassia
Statistical Methods and Applications 13, 151-166, 2004
97 2004 Neural network modeling for small datasets S Ingrassia, I Morlini
Technometrics 47 (3), 297-311, 2005
81 2005 Erratum to: The generalized linear mixed cluster-weighted model S Ingrassia, A Punzo, G Vittadini, SC Minotti
Journal of Classification 32, 327-355, 2015
75 2015 Clustering and classification via cluster-weighted factor analyzers S Subedi, A Punzo, S Ingrassia, PD McNicholas
Advances in Data Analysis and Classification 7 (1), 5-40, 2013
73 2013 On the rate of convergence of the Metropolis algorithm and Gibbs sampler by geometric bounds S Ingrassia
The Annals of Applied Probability, 347-389, 1994
62 1994 Constrained monotone EM algorithms for mixtures of multivariate t distributions F Greselin, S Ingrassia
Statistics and computing 20, 9-22, 2010
59 2010 On parsimonious models for modeling matrix data S Sarkar, X Zhu, V Melnykov, S Ingrassia
Computational Statistics & Data Analysis 142, 106822, 2020
55 2020 Multivariate response and parsimony for Gaussian cluster-weighted models UJ Dang, A Punzo, PD McNicholas, S Ingrassia, RP Browne
Journal of Classification 34, 4-34, 2017
55 2017 Cluster-weighted S Subedi, A Punzo, S Ingrassia, PD McNicholas
Statistical Methods & Applications 24 (4), 623-649, 2015
55 2015 Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints S Ingrassia, R Rocci
Computational statistics & data analysis 55 (4), 1715-1725, 2011
46 2011 Functional principal component analysis of financial time series S Ingrassia, GD Costanzo
New Developments in Classification and Data Analysis: Proceedings of the …, 2005
44 2005 Clustering bivariate mixed-type data via the cluster-weighted model A Punzo, S Ingrassia
Computational Statistics 31, 989-1013, 2016
36 2016 flexCWM: a flexible framework for cluster-weighted models A Mazza, A Punzo, S Ingrassia
Journal of Statistical Software 86, 1-30, 2018
34 2018 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, 377-402, 2017
34 2017 Totally coherent set-valued probability assessments A Gilio, S Ingrassia
Kybernetika 34 (1), [3]-15, 1998
34 1998 The effect of ISM absorption on stellar activity measurements and its relevance for exoplanet studies L Fossati, SE Marcelja, D Staab, PE Cubillos, K France, CA Haswell, ...
Astronomy & Astrophysics 601, A104, 2017
31 2017 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
25 2016 
Antonio PunzoFull Professor of Statistics, University of CataniaEmail verificata su unict.it
