statistiche ricercatore

Nome	#
Gaussian mixture model with an extended ultrametric covariance structure	76
Hierarchical disjoint principal component analysis	70
An ultrametric model to build a Composite Indicators system	63
An ultrametric model for building a composite indicator system to study climate change in European countries	58
Exploring hierarchical concepts: theoretical and application comparisons	40
Model-based clustering with parsimonious covariance structure	40
Exploring drug consumption via an ultrametric correlation matrix	40
A model-based ultrametric composite indicator for studying waste management in Italian municipalities	39
Hierarchical clustering and dimensionality reduction for big data	38
A parsimonious parameterization of a nonnegative correlation matrix	35
The ultrametric correlation matrix for modelling hierarchical latent concepts	35
Handling missing data in complex phenomena: an ultrametric model-based approach for clustering	35
The ultrametric covariance model for modelling teachers’ job satisfaction	27
Dimensionality reduction via hierarchical factorial structure	25
A new hierarchical model-based composite indicator on climate change	25
Ultrametric Gaussian mixture models with parsimonious structures	22
Complex Dimensionality Reduction: ultrametric models for mixed-type data	15
Parsimonious ultrametric Gaussian mixture models	3
Totale	686

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2022/2023	336	0	0	0	79	67	84	11	24	21	20	9	21
2023/2024	350	20	12	24	16	29	76	55	45	41	18	14	0
Totale													686

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