Titolo | Pubblicato in | Anno |
---|---|---|
Gaussian mixture model with an extended ultrametric covariance structure | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | 2022 |
An ultrametric model to build a Composite Indicators system | Book of short papers. IES 2022 Innovation & society 5.0: statistical and economic methodologies for quality assessment | 2022 |
Hierarchical disjoint principal component analysis | ASTA ADVANCES IN STATISTICAL ANALYSIS | 2022 |
Complex Dimensionality Reduction: Ultrametric Models for Mixed-Type Data | SMPS 2022: Building Bridges between Soft and Statistical Methodologies for Data Science | 2022 |
An ultrametric model for building a composite indicator system to study climate change in European countries | Book of the short papers. SIS 2022 51st scientific meeting of the Italian statistical society | 2022 |
The ultrametric covariance model for modelling teachers’ job satisfaction | 2021 | |
Model-based clustering with parsimonious covariance structure | CLADAG 2021 book of abstracts and short papers. 13th scientific meeting of the classification and data analysis group - Firenze, September 9-11, 2021 | 2021 |
A parsimonious parameterization of a nonnegative correlation matrix | Book of short papers of the 5th international workshop on models and learning for clustering and classification MBC2 2020, Catania, Italy | 2021 |
Exploring hierarchical concepts: theoretical and application comparisons | Advanced studies in behaviormetrics and data science. Essays in honor of Akinori Okada | 2020 |
The ultrametric correlation matrix for modelling hierarchical latent concepts | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | 2020 |
Exploring drug consumption via an ultrametric correlation matrix | Book of short Papers SIS 2020 | 2020 |
Hierarchical clustering and dimensionality reduction for big data | Smart statistics for smart applications. Book of short paper SIS2019 | 2019 |
A new hierarchical model-based composite indicator on climate change | Statistical methods for service quality for service quality evaluation evaluation. Book of short papers of IES 2019, Rome, Italy, July 4-5 | 2019 |
Dimensionality reduction via hierarchical factorial structure | 2019 |
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