Roberto Rocci | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Clustering Ordinal Data Via Parsimonious Models	Combining, Modelling and Analyzing Imprecision, Randomness and Dependence.	2024
Mixture models for simultaneous classification and reduction of three-way data	COMPUTATIONAL STATISTICS	2024
Functional clustering of NPLs recovery curves	SOCIO-ECONOMIC PLANNING SCIENCES	2024
Penalized Estimation of a Finite Mixture of Linear Regression Models	Building Bridges between Soft and Statistical Methodologies for Data Science	2023
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	ADVANCES IN DATA ANALYSIS AND CLASSIFICATION	2023
LASSO-penalized clusterwise linear regression modelling: a two-step approach	JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION	2023
Model-based simultaneous classification and reduction for three - way ordinal data	ClaDAG2023: BOOK OF ABSTRACTS AND SHORT PAPERS	2023
Unsupervised classification of NPLs recovery curves	IES2023: statistical methods for evaluation and quality: techniques, technologies and trends (t3)	2023
Estimating Recovery Curve for NPLs	MAF 2022: Mathematical and Statistical Methods for Actuarial Sciences and Finance	2022
Finite mixtures of regression models for longitudinal data	Book of Short Papers SIS 2021	2021
Semi-constrained model-based clustering of mixed-type data using a composite likelihood approach	CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS : 13th Scientific Meeting of the Classification and Data Analysis Group Firenze, September 9-11, 2021	2021
Penalized Versus Constrained Approaches for Clusterwise Linear Regression Modeling	Studies in Classification, Data Analysis, and Knowledge Organization	2021
A Comparison Between Methods to Cluster Mixed-Type Data: Gaussian Mixtures Versus Gower Distance	Studies in Classification, Data Analysis, and Knowledge Organization	2021
Lasso-penalized clusterwise linear regression modeling with a two–step approach	Models and Learning for Clustering and Classification	2021
Mixture of factor analyzers for mixed-type data via a composite likelihood approach	Models and Learning for Clustering and Classification	2021
Factor Uniqueness of the Structural Parafac Model	PSYCHOMETRIKA	2020
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

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