| Constrained monotone EM algorithms for finite mixture of multivariate Gaussians S Ingrassia, R Rocci Computational Statistics & Data Analysis 51 (11), 5339-5351, 2007 | 110 | 2007 |
| Local statistical modeling via a cluster-weighted approach with elliptical distributions S Ingrassia, SC Minotti, G Vittadini Journal of classification 29 (3), 363-401, 2012 | 99 | 2012 |
| A likelihood-based constrained algorithm for multivariate normal mixture models S Ingrassia Statistical Methods and Applications 13 (2), 151-166, 2004 | 82 | 2004 |
| Model-based clustering via linear cluster-weighted models S Ingrassia, SC Minotti, A Punzo Computational Statistics & Data Analysis 71, 159-182, 2014 | 78 | 2014 |
| Neural network modeling for small datasets S Ingrassia, I Morlini Technometrics 47 (3), 297-311, 2005 | 63 | 2005 |
| Erratum to: The generalized linear mixed cluster-weighted model S Ingrassia, A Punzo, G Vittadini, SC Minotti Journal of Classification 32 (2), 327-355, 2015 | 58 | 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 | 57 | 2013 |
| Constrained monotone EM algorithms for mixtures of multivariate t distributions F Greselin, S Ingrassia Statistics and computing 20 (1), 9-22, 2010 | 56 | 2010 |
| 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 | 56 | 1994 |
| Cluster-weighted t -factor analyzers for robust model-based clustering and dimension reduction S Subedi, A Punzo, S Ingrassia, PD McNicholas Statistical Methods & Applications 24 (4), 623-649, 2015 | 45 | 2015 |
| Multivariate response and parsimony for Gaussian cluster-weighted models UJ Dang, A Punzo, PD McNicholas, S Ingrassia, RP Browne Journal of Classification 34 (1), 4-34, 2017 | 40 | 2017 |
| 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 | 37 | 2011 |
| Clustering bivariate mixed-type data via the cluster-weighted model A Punzo, S Ingrassia Computational Statistics 31 (3), 989-1013, 2016 | 33 | 2016 |
| Functional principal component analysis of financial time series S Ingrassia, GD Costanzo New developments in classification and data analysis, 351-358, 2005 | 33 | 2005 |
| Totally coherent set-valued probability assessments A Gilio, S Ingrassia Kybernetika 34 (1), [3]-15, 1998 | 30 | 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 | 26 | 2017 |
| flexCWM: a flexible framework for cluster-weighted models A Mazza, A Punzo, S Ingrassia Journal of Statistical Software 86, 1-30, 2018 | 25 | 2018 |
| A comparison between the simulated annealing and the EM algorithms in normal mixture decompositions S Ingrassia Statistics and Computing 2 (4), 203-211, 1992 | 23 | 1992 |
| Decision boundaries for mixtures of regressions S Ingrassia, A Punzo Journal of the Korean Statistical Society 45 (2), 295-306, 2016 | 22 | 2016 |
| A bimodal correlation between host star chromospheric emission and the surface gravity of hot jupiters L Fossati, S Ingrassia, AF Lanza The Astrophysical Journal Letters 812 (2), L35, 2015 | 20 | 2015 |
Antonio PunzoFull Professor of Statistics, University of CataniaVerified email at unict.it
