statistiche ricercatore

Nome	#
A data driven equivariant approach to constrained Gaussian mixture modeling	409
Clustering curves on a reduced subspace	408
A New dimension reduction method: factor discriminant K-means	378
Clusterwise linear regression modeling with soft scale constraints	150
A shape distance based on the Fisher–Rao metric and its application for shapes clustering	128
Heterogeneity measures in customer satisfaction analysis	126
Finite mixture of linear regression models: An adaptive constrained approach to maximum likelihood estimation	122
Application of adaptive cluster sampling with a data-driven stopping rule to plant disease incidence	111
Adaptive cluster sampling with a data driven stopping rule	110
Simultaneous inference on diversity of biological communities	108
VAR models for predicting biodiversity	103
A Functional approach to diversity profiles	96
Surface shape analysis, with an application to brain surface asymmetry in schizophrenia	75
Multivariate bootstrap confidence regions for ecological populations using data depth	54
Non parametric tests and confidence regions for intrinsic diversity profiles of biological populations	54
PENALIZED VS CONSTRAINED MAXIMUM LIKELIHOOD APPROACHES FOR CLUSTERWISE LINEAR REGRESSION MODELING	8
Totale	2.440

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2018/2019	199	0	0	0	0	0	0	0	0	0	55	75	69
2019/2020	824	81	48	58	83	83	106	106	80	60	48	27	44
2020/2021	389	29	46	31	63	32	36	50	31	18	13	28	12
2021/2022	154	5	34	7	3	12	9	11	6	10	3	21	33
2022/2023	204	16	33	3	20	14	43	19	2	17	2	25	10
2023/2024	72	9	2	3	4	15	31	2	4	1	1	0	0
Totale													2.440