The plateau of human mortality: Demography of longevity pioneers E Barbi, F Lagona, M Marsili, JW Vaupel, KW Wachter Science 360 (6396), 1459-1461, 2018 | 268 | 2018 |
A multivariate hidden Markov model for the identification of sea regimes from incomplete skewed and circular time series J Bulla, F Lagona, A Maruotti, M Picone Journal of Agricultural, Biological, and Environmental Statistics 17, 544-567, 2012 | 77 | 2012 |
On the quality of likelihood-based estimators in spatial autoregressive models when the data dependence structure is misspecified DA Griffith, F Lagona Journal of Statistical Planning and Inference 69 (1), 153-174, 1998 | 77 | 1998 |
A nonlinear principal component analysis of the relationship between budget rules and fiscal performance in the European Union F Lagona, F Padovano Public Choice 130, 401-436, 2007 | 67 | 2007 |
The political legislation cycle F Lagona, F Padovano Public Choice 134 (3), 201-229, 2008 | 47 | 2008 |
A hidden Markov model for the analysis of cylindrical time series F Lagona, M Picone, A Maruotti Environmetrics 26 (8), 534-544, 2015 | 42 | 2015 |
A hidden Markov approach to the analysis of space–time environmental data with linear and circular components F Lagona, M Picone, A Maruotti, S Cosoli Stochastic Environmental Research and Risk Assessment 29, 397-409, 2015 | 40 | 2015 |
Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach M Ranalli, F Lagona, M Picone, E Zambianchi Journal of the Royal Statistical Society Series C: Applied Statistics 67 (3 …, 2018 | 36 | 2018 |
Model-based clustering of multivariate skew data with circular components and missing values F Lagona, M Picone Taylor & Francis, 2011 | 29 | 2011 |
Regression analysis of correlated circular data based on the multivariate von Mises distribution F Lagona Environmental and ecological statistics 23, 89-113, 2016 | 26 | 2016 |
Maximum likelihood estimation of bivariate circular hidden Markov models from incomplete data F Lagona, M Picone Taylor & Francis, 2012 | 26 | 2012 |
A non-homogeneous hidden Markov model for the analysis of multi-pollutant exceedances data F Lagona, A Maruotti, M Picone Hidden Markov Models, Theory and Applications, 207-222, 2011 | 25 | 2011 |
A Latent-Class Model for Clustering Incomplete Linear and Circular Data in Marine Studies F Lagona, M Picone Journal of Data Science 9, 585-605, 2011 | 24 | 2011 |
A missing composite covariate in survival analysis: a case study of the Chinese Longitudinal Health and Longevity Survey F Lagona, Z Zhang Statistics in medicine 29 (2), 248-261, 2010 | 23 | 2010 |
Population ageing in Italy: an empirical analysis of change in the ageing index across space and time C Reynaud, S Miccoli, F Lagona Spatial Demography 6 (3), 235-251, 2018 | 22 | 2018 |
A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure A Maruotti, A Punzo, G Mastrantonio, F Lagona Stochastic Environmental Research and Risk Assessment 30, 1725-1740, 2016 | 22 | 2016 |
Dynamic mixtures of factor analyzers to characterize multivariate air pollutant exposures A Maruotti, J Bulla, F Lagona, M Picone, F Martella | 21 | 2017 |
Model-based segmentation of spatial cylindrical data F Lagona, M Picone Journal of Statistical Computation and Simulation 86 (13), 2598-2610, 2016 | 20 | 2016 |
Multilevel multivariate modelling of legislative count data, with a hidden Markov chain F Lagona, A Maruotti, F Padovano Journal of the Royal Statistical Society Series A: Statistics in Society 178 …, 2015 | 20 | 2015 |
Latent time‐varying factors in longitudinal analysis: a linear mixed hidden Markov model for heart rates F Lagona, D Jdanov, M Shkolnikova Statistics in Medicine 33 (23), 4116-4134, 2014 | 20 | 2014 |