statistiche ricercatore

Nome	#
Gaussian mixture model with an extended ultrametric covariance structure	96
Hierarchical disjoint principal component analysis	79
An ultrametric model to build a Composite Indicators system	71
An ultrametric model for building a composite indicator system to study climate change in European countries	69
A model-based ultrametric composite indicator for studying waste management in Italian municipalities	62
Handling missing data in complex phenomena: an ultrametric model-based approach for clustering	56
Exploring drug consumption via an ultrametric correlation matrix	50
Ultrametric Gaussian mixture models with parsimonious structures	49
The ultrametric correlation matrix for modelling hierarchical latent concepts	48
Model-based clustering with parsimonious covariance structure	47
Hierarchical clustering and dimensionality reduction for big data	47
Exploring hierarchical concepts: theoretical and application comparisons	46
A parsimonious parameterization of a nonnegative correlation matrix	44
The ultrametric covariance model for modelling teachers’ job satisfaction	36
Dimensionality reduction via hierarchical factorial structure	34
A new hierarchical model-based composite indicator on climate change	31
Complex Dimensionality Reduction: ultrametric models for mixed-type data	23
Parsimonious ultrametric Gaussian mixture models	10
Studying hierarchical latent structures in heterogeneous populations with missing information	10
Totale	908

	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	189	31	92	37	29	0	0	0	0	0	0	0	0
Totale													908

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