statistiche ricercatore

Nome	#
Gaussian mixture model with an extended ultrametric covariance structure	99
Hierarchical disjoint principal component analysis	84
An ultrametric model to build a Composite Indicators system	74
An ultrametric model for building a composite indicator system to study climate change in European countries	70
Handling missing data in complex phenomena: an ultrametric model-based approach for clustering	66
A model-based ultrametric composite indicator for studying waste management in Italian municipalities	63
Exploring drug consumption via an ultrametric correlation matrix	52
Ultrametric Gaussian mixture models with parsimonious structures	51
The ultrametric correlation matrix for modelling hierarchical latent concepts	51
Model-based clustering with parsimonious covariance structure	49
Hierarchical clustering and dimensionality reduction for big data	48
Exploring hierarchical concepts: theoretical and application comparisons	47
A parsimonious parameterization of a nonnegative correlation matrix	45
The ultrametric covariance model for modelling teachers’ job satisfaction	38
Dimensionality reduction via hierarchical factorial structure	36
A new hierarchical model-based composite indicator on climate change	32
Complex Dimensionality Reduction: ultrametric models for mixed-type data	24
Parsimonious ultrametric Gaussian mixture models	11
Studying hierarchical latent structures in heterogeneous populations with missing information	11
Totale	951

	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	383	20	12	24	16	29	76	55	45	41	18	16	31
2024/2025	232	31	92	37	45	27	0	0	0	0	0	0	0
Totale													951

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