Roberto Rocci

Pubblicazioni

Titolo Pubblicato in Anno
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
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

ERC

  • LS2_12
  • PE1_14
  • PE6_11
  • SH1_6

Keywords

mixture models
Clustering and classification
Data reduction methods
latent variables

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