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paolo.giordani@uniroma1.it
Paolo Giordani
Professore Ordinario
Struttura:
DIPARTIMENTO DI SCIENZE STATISTICHE
E-mail:
paolo.giordani@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Weighted least squares for archetypal analysis with missing data
BEHAVIORMETRIKA
2024
FKML0: A Matlab Routine for Sparse Fuzzy Clustering
2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
2024
Fuzzy and Model Based Clustering Methods: Can We Fruitfully Compare Them?
Models for data analysis
2023
Mortality forecasting using the four-way CANDECOMP/PARAFAC decomposition
SCANDINAVIAN ACTUARIAL JOURNAL
2023
CPclus: Candecomp/Parafac Clustering Model for Three-Way Data
JOURNAL OF CLASSIFICATION
2023
A multi-way analysis of similarity patterns in longevity improvements
STATISTICAL METHODS & APPLICATIONS
2023
A cohort study on the gender gap in mortality through the Tucker3 model
CLADAG 2023 Book of abstracts and short papers
2023
Cluster Validity Measures for Fuzzy Two-Mode Clustering
Building Bridges between Soft and Statistical Methodologies for Data Science
2022
A tensor-based approach to cause-of-death mortality modeling
ANNALS OF OPERATIONS RESEARCH
2022
An Application of the Tensor-Based Approach to Mortality Modeling
Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022
2022
Clustering models for three-way data
Cladag 2021 Book of Abstracts and Short Papers.13th Meeting of the Classification and Data Analysis Group
2021
Random effect models for multivariate mixed data: A Parafac-based finite mixture approach
STATISTICAL MODELLING
2021
Bootstrap confidence intervals for principal covariates regression
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY
2021
Soft clustering
WILEY INTERDISCIPLINARY REVIEWS. COMPUTATIONAL STATISTICS
2020
A class of two-mode clustering algorithms in a fuzzy setting
ECONOMETRICS AND STATISTICS
2020
An Introduction to Clustering with R
2020
Candecomp/Parafac with zero constraints at arbitrary positions in a loading matrix
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
2020
A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood
PLOS ONE
2020
Factor Uniqueness of the Structural Parafac Model
PSYCHOMETRIKA
2020
fclust: An R Package for Fuzzy Clustering
THE R JOURNAL
2019
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Progetti di Ricerca
New developments on regression models for multivariate mixed responses
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