statistiche ricercatore

Nome	#
Gaussian mixture model with an extended ultrametric covariance structure	107
Hierarchical disjoint principal component analysis	91
A model-based ultrametric composite indicator for studying waste management in Italian municipalities	85
An ultrametric model to build a Composite Indicators system	80
An ultrametric model for building a composite indicator system to study climate change in European countries	76
Handling missing data in complex phenomena: an ultrametric model-based approach for clustering	69
Exploring drug consumption via an ultrametric correlation matrix	58
Model-based clustering with parsimonious covariance structure	55
Ultrametric Gaussian mixture models with parsimonious structures	54
The ultrametric correlation matrix for modelling hierarchical latent concepts	54
Hierarchical clustering and dimensionality reduction for big data	54
Exploring hierarchical concepts: theoretical and application comparisons	51
A parsimonious parameterization of a nonnegative correlation matrix	50
The ultrametric covariance model for modelling teachers’ job satisfaction	43
A new hierarchical model-based composite indicator on climate change	43
Dimensionality reduction via hierarchical factorial structure	41
Complex Dimensionality Reduction: ultrametric models for mixed-type data	27
Parsimonious ultrametric Gaussian mixture models	17
Studying hierarchical latent structures in heterogeneous populations with missing information	17
Totale	1.072

	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	353	31	92	37	45	66	82	0	0	0	0	0	0
Totale													1.072

Bicocca Open Archive