Francesca Martella
Professore Associato
Struttura:
E-mail:
| Titolo | Pubblicato in | Anno |
|---|---|---|
| Finite mixtures of latent trait analyzers with concomitant variables for bipartite networks: an analysis of COVID-19 data | MULTIVARIATE BEHAVIORAL RESEARCH | 2024 |
| Biclustering of discrete data by extended finite mixtures of latent trait models | Proceedings of the Statistics and Data Science 2024 Conference, New perspectives on Statistics and Data Science | 2024 |
| Cluster-weighted disjoint factor analyzers for exploring the impact of socioeconomic factors on crime rates. | Methodological and Applied Statistics and Demography II. SIS 2024, Short Papers, Solicited Sessions | 2024 |
| Finite mixtures of linear quantile regressions with concomitant variables: a simple solution to endogeneity in longitudinal data models | Methodological and Applied Statistics and Demography II. SIS 2024, Short Papers, Solicited Sessions | 2024 |
| Mixtures of Generalized Latent Trait Analyzers for biclustering multivariate data | Methodological and Applied Statistics and Demography III. SIS 2024, Short Papers, Contributed Sessions 1 | 2024 |
| A Biclustering Approach via Mixture of Latent Trait Analyzers for the Analysis of Digital Divide in Italy | Developments in Statistical Modelling. IWSM 2024. Contributions to Statistics. | 2024 |
| Biclustering listeners and music genres using a composite likelihood-based approach | Book of abstracts of the 18th International Joint Conference CFE-CMStatistics | 2024 |
| Mixture of Generalized Latent Trait Analyzers for jointly clustering pediatric patients and their clinical conditions | Book of abstracts of the 18th International Joint Conference CFE-CMStatistics | 2024 |
| Biclustering of ordinal data through a composite likelihood approach. | Book of abstracts of the 26th International Conference on Computational Statistics | 2024 |
| Biclustering bipartite networks via a finite mixture approach | Book of abstracts of the HiTEc meeting and Complex Data in Econometrics and Statistics Workshop. | 2023 |
| An extension of finite mixtures of latent trait analyzers for biclustering bipartite networks. | Book of short Papers SIS 2023, Pearson, 2023 | 2023 |
| On model-based clustering for equitable and sustainable well-being at local level: how many Italies? | Book of abstract and short papers, 14th Scientific Meeting of the Classification and Data Analysis Group 2023 | 2023 |
| The multivariate cluster-weighted disjoint factor analyzers model | Book of abstract and short papers, 14th Scientific Meeting of the Classification and Data Analysis Group 2023 | 2023 |
| Biclustering multivariate discrete longitudinal data | STATISTICS AND COMPUTING | 2023 |
| Clustering via a finite mixture of disjoint factor analysis model | Book of abstracts of the16th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2023) | 2023 |
| Extending finite mixtures of latent trait analyzers for bipartite networks | Book of short Papers 2022 | 2022 |
| A finite mixture model for biclustering longitudinal trajectories: an application to Italian crime data. | Book of abstracts of the 15th International Conference of the ERCIM WG on Computational and Methodological Statistics | 2022 |
| A finite mixture approach for biclustering bipartite networks. | Book of abstracts of the 15th International Conference of the ERCIM WG on Computational and Methodological Statistics | 2022 |
| Biclustering longitudinal trajectories through a model-based approach | Book of Short Papers SIS 2021 | 2021 |
| High dimensional model-based clustering of European georeferenced vegetation plots | Book of short Papers CLADAG 2021 | 2021 |
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma