Roberto Rocci | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Aggregating Gaussian mixture components	book of short papers SIS2020	2020
AN INDSCAL BASED MIXTURE MODEL TO CLUSTER MIXED-TYPE OF DATA	CLADAG 2019 - Book of short papers	2019
COMPOSITE LIKELIHOOD INFERENCE FOR SIMULTANEOUS CLUSTERING AND DIMENSIONALITY REDUCTION OF MIXED-TYPE LONGITUDINAL DATA	CLADAG 2019 - Book of short papers	2019
An overview on the URV model-based approach to cluster mixed-type data	Statistical Learning of Complex Data	2019
PENALIZED VS CONSTRAINED MAXIMUM LIKELIHOOD APPROACHES FOR CLUSTERWISE LINEAR REGRESSION MODELING		2019
THE PARAFAC MODEL IN THE MAXIMUM LIKELIHOOD APPROACH		2019
Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models	STATISTICAL METHODS & APPLICATIONS	2019
Simultaneous clustering and dimensional reduction of mixed-type data	ASMOD 2018: Proceedings of the International Conference on Advances in Statistical Modelling of Ordinal Data	2018
Simultaneous clustering and dimensional reduction of mixed-type data	11th International Conference of the ERCIM. Book of abstracts	2018
A data driven equivariant approach to constrained gaussian mixture modeling	ADVANCES IN DATA ANALYSIS AND CLASSIFICATION	2018
Some clarifications of remedies for Candecomp/Parafac degeneracy by means of an SVD-penalized approach	CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS	2017
Clusterwise linear regression modeling with soft scale constraints	INTERNATIONAL JOURNAL OF APPROXIMATE REASONING	2017
A Model-Based Approach to Simultaneous Clustering and Dimensional Reduction of Ordinal Data	PSYCHOMETRIKA	2017
Mixture models for mixed-type data through a composite likelihood approach	COMPUTATIONAL STATISTICS & DATA ANALYSIS	2017
Mixture models for simultaneous classification and reduction of three-way data	CLADAG 2017 Book of Short Papers	2017
Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation	Soft Methods for Data Science	2017
Remedies for Degeneracy in Candecomp/Parafac	Quantitative Psychology Research	2016
Mixture models for ordinal data: a pairwise likelihood approach	STATISTICS AND COMPUTING	2016
Standard and novel model selection criteria in the pairwise likelihood estimation of a mixture model for ordinal data	Studies in Classification, Data Analysis, and Knowledge Organization	2016
Handbook of Cluster Analysis		2015

ERC

LS2_12
PE1_14
PE6_11
SH1_6

Keywords

mixture models

Clustering and classification

Data reduction methods

latent variables

Progetti di Ricerca

New statistical learning methods for model-based unsupervised classification of complex and high dimensional data