statistiche ricercatore

Nome	#
A data driven equivariant approach to constrained Gaussian mixture modeling	425
Clustering curves on a reduced subspace	418
A New dimension reduction method: factor discriminant K-means	388
Clusterwise linear regression modeling with soft scale constraints	163
Heterogeneity measures in customer satisfaction analysis	143
Finite mixture of linear regression models: An adaptive constrained approach to maximum likelihood estimation	140
A shape distance based on the Fisher–Rao metric and its application for shapes clustering	137
Adaptive cluster sampling with a data driven stopping rule	128
Simultaneous inference on diversity of biological communities	122
Application of adaptive cluster sampling with a data-driven stopping rule to plant disease incidence	117
VAR models for predicting biodiversity	110
A Functional approach to diversity profiles	104
Surface shape analysis, with an application to brain surface asymmetry in schizophrenia	85
Non parametric tests and confidence regions for intrinsic diversity profiles of biological populations	70
Multivariate bootstrap confidence regions for ecological populations using data depth	65
PENALIZED VS CONSTRAINED MAXIMUM LIKELIHOOD APPROACHES FOR CLUSTERWISE LINEAR REGRESSION MODELING	21
Totale	2.636

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2019/2020	365	0	0	0	0	0	0	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	82	9	2	3	4	15	31	2	4	1	1	2	8
2024/2025	186	2	78	39	18	4	41	4	0	0	0	0	0
Totale													2.636