| Optimal histogram representation of large data sets: Fisher vs piecewise linear approximations A Irpino, E Romano RNTI, E 9, 99-110, 2007 | 60 | 2007 |
| Advances in spatial functional statistics J Mateu, E Romano Stochastic Environmental Research and Risk Assessment 31, 1-6, 2017 | 38 | 2017 |
| Clustering spatio-functional data: a model based approach E Romano, A Balzanella, R Verde Classification as a Tool for Research: Proceedings of the 11th IFCS Biennial …, 2010 | 30 | 2010 |
| On the performance of two clustering methods for spatial functional data E Romano, J Mateu, R Giraldo AStA Advances in Statistical Analysis 99, 467-492, 2015 | 28 | 2015 |
| Adaptive monitoring of marine disasters with intelligent mobile sensor networks M Iacono, E Romano, S Marrone 2010 IEEE Workshop on Environmental Energy and Structural Monitoring Systems …, 2010 | 26 | 2010 |
| Spatial variability clustering for spatially dependent functional data E Romano, A Balzanella, R Verde Statistics and Computing 27, 645-658, 2017 | 24 | 2017 |
| A new regionalization method for spatially dependent functional data based on local variogram models: an application on environmental data E Romano, A Balzanella, R Verde Atti del 45th Scientific Meeting of the Italian Statistical Society, Padova, 2010 | 14 | 2010 |
| Spatial functional normal mixed effect approach for curve classification MD Ruiz-Medina, RM Espejo, E Romano Advances in Data Analysis and Classification 8, 257-285, 2014 | 12 | 2014 |
| A regionalization method for spatial functional data based on variogram models: an application on environmental data E Romano, A Balzanella, R Verde Advances in Theoretical and Applied Statistics, 99-108, 2013 | 12 | 2013 |
| Clustering spatial functional data: A method based on a nonparametric variogram estimation E Romano, R Verde, V Cozza New Perspectives in Statistical Modeling and Data Analysis: Proceedings of …, 2011 | 10 | 2011 |
| Integrating time alignment and Self-Organizing Maps for classifying curves E Romano, G Scepi Electronic Proceedings of Knowledge Extraction and Modeling, 2006 | 10 | 2006 |
| An inter-models distance for clustering utility functions E Romano, G Giordano, NC Lauro Stat. Appl 17 (2), 2006 | 9 | 2006 |
| Clustering Geostatistical Functional Data E Romano, R Verde Advanced Statistical Methods for the Analysis of Large Data-Sets, 23, 2012 | 7 | 2012 |
| Dynamical curves clustering with free knots spline estimation E Romano PHD Thesis, University of Federico II, Naples, 2006 | 7 | 2006 |
| Heteroskedastic geographically weighted regression model for functional data E Romano, J Mateu, O Butzbach Spatial Statistics 38, 100444, 2020 | 6 | 2020 |
| Plug-in prediction intervals for a special class of standard ARH (1) processes MD Ruiz-Medina, E Romano, R Fernández-Pascual Journal of Multivariate Analysis 146, 138-150, 2016 | 6 | 2016 |
| Modified half-region depth for spatially dependent functional data A Balzanella, E Romano, R Verde Stochastic Environmental Research and Risk Assessment 31, 87-103, 2017 | 5 | 2017 |
| Clustering spatially correlated functional data E Romano, R Giraldo, J Mateu Recent Advances in Functional Data Analysis and Related Topics, 277-282, 2011 | 5 | 2011 |
| Classification as a tool for research E Romano, A Balzanella, R Verde Proceedings of the 11th IFCS Biennial conference and 33rd annual conference …, 2009 | 5 | 2009 |
| Outlier detection for geostatistical functional data: an application to sensor data E Romano, J Mateu Classification and data mining, 131-138, 2012 | 4 | 2012 |
Antonio BalzanellaProfessor (Associate), Università della Campania Luigi VanvitelliDirección de correo verificada de unicampania.it
