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Roberto Rocci
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2020 – today
- 2024
- [j13]Monia Ranalli, Roberto Rocci:
Composite likelihood methods for parsimonious model-based clustering of mixed-type data. Adv. Data Anal. Classif. 18(2): 381-407 (2024) - 2023
- [j12]Alessandra Carleo, Roberto Rocci, Maria Sole Staffa:
Measuring the Recovery Performance of a Portfolio of NPLs. Comput. 11(2): 29 (2023)
2010 – 2019
- 2018
- [j11]Roberto Rocci, Stefano Antonio Gattone, Roberto Di Mari:
A data driven equivariant approach to constrained Gaussian mixture modeling. Adv. Data Anal. Classif. 12(2): 235-260 (2018) - 2017
- [j10]Monia Ranalli, Roberto Rocci:
Mixture models for mixed-type data through a composite likelihood approach. Comput. Stat. Data Anal. 110: 87-102 (2017) - [j9]Roberto Di Mari, Roberto Rocci, Stefano Antonio Gattone:
Clusterwise linear regression modeling with soft scale constraints. Int. J. Approx. Reason. 91: 160-178 (2017) - 2016
- [j8]Monia Ranalli, Roberto Rocci:
Mixture models for ordinal data: a pairwise likelihood approach. Stat. Comput. 26(1-2): 529-547 (2016) - [c2]Roberto Di Mari, Roberto Rocci, Stefano Antonio Gattone:
Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation. SMPS 2016: 181-186 - 2014
- [c1]Monia Ranalli, Roberto Rocci:
Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Model for Ordinal Data. ECDA 2014: 53-68 - 2011
- [j7]Roberto Rocci, Stefano Antonio Gattone, Maurizio Vichi:
A New Dimension Reduction Method: Factor Discriminant K-means. J. Classif. 28(2): 210-226 (2011) - [j6]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): 1715-1725 (2011)
2000 – 2009
- 2008
- [j5]Roberto Rocci, Maurizio Vichi:
Two-mode multi-partitioning. Comput. Stat. Data Anal. 52(4): 1984-2003 (2008) - 2007
- [j4]Maurizio Vichi, Roberto Rocci, Henk A. L. Kiers:
Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches. J. Classif. 24(1): 71-98 (2007) - [j3]Marco Di Zio, Ugo Guarnera, Roberto Rocci:
A mixture of mixture models for a classification problem: The unity measure error. Comput. Stat. Data Anal. 51(5): 2573-2585 (2007) - [j2]Salvatore Ingrassia, Roberto Rocci:
Constrained monotone EM algorithms for finite mixture of multivariate Gaussians. Comput. Stat. Data Anal. 51(11): 5339-5351 (2007) - 2002
- [j1]Murray Aitkin, Roberto Rocci:
A general maximum likelihood analysis of measurement error in generalized linear models. Stat. Comput. 12(2): 163-174 (2002)
Coauthor Index
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