• Lagona F (2019) Copula-based segmentation of cylindrical time series, Statistical and Probability Letters, 144: 16-22 LINK 
  • Lagona F and Barbi E (2019) Segmentation of mortality surfaces by hidden Markov models,  Statistical Modelling, 19(2): 1-23, LINK
  • Ameijeiras-Alonso J, Lagona F, Ranalli M and Crujeiras, RM (2019) A circular non-homogeneous hidden Markov field for the spatial segmentation of wildfire occurrences, Environmetrics, LINK
  • Barbi E, Lagona F, Marsili M, Vaupel J and Wachter K (2018) Response to Comment on “The plateau of human mortality: Demography of longevity pioneers”. Science, vol. 362, LINK
  • Barbi E, Lagona F, Marsili M, Vaupel J and Wachter K (2018) The Plateau of Human Mortality: Demography of Longevity Pioneers, Science, 1459-1461, LINK R CODE, FIGURES code
  • Auteri M, Lagona F e Padovano F (2018) Il ciclo politico-legislativo italiano dal 1948 ad oggi, Studi parlamentari e di politica costituzionale, 199-200 (in press)
  • Ranalli M, Lagona F, Picone M and Zambianchi E (2018) Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach, Journal of the Royal Statistical Society C, 67: 575-598, LINK
  • Raynaud C, Miccoli S and Lagona F (2018) Population ageing in Italy: an empirical analysis of change in the ageing index across space and time, Spatial Demography, 6(3): 235-251 LINK
  • Maruotti A, Bulla J, Lagona F, Picone M, Martella F (2017) Dynamic mixtures of factor analyzers to characterize multivariate air pollutant exposures, Annals of Applied Statistics, 11: 1617-1648, LINK
  • Lagona F (2016) Regression analysis of correlated circular data based on the multivariate von Mises distribution, Environmental and Ecological Statistics, 23: 89-113, LINK
  • Lagona F and Picone M (2016) Model-based segmentation of spatial cylindrical data, Journal of Statistical Computation and Simulation, 86: 2598-2610, LINK
  • Maruotti A, Punzo A, Mastrantonio G and Lagona F (2016) A time-dependent extension of the projected Normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure, Stochastic Environmental Research and Risk Assessment, 30: 1725-1740, LINK
  • Maruotti A, Raponi V and Lagona F (2016) Handling endogeneity and non-negativity in correlated random effects models: evidence from ambulatory expenditure, Biometrical Journal, 58: 280-302, LINK
  • Lagona F, Picone M and Maruotti A (2015) A Hidden Markov model for the analysis of cylindrical time series, Environmetrics, 26: 534-544, LINK
  • Lagona F, Maruotti A and Padovano F (2015) Multilevel multivariate modelling of legislative count data, with hidden Markov chain, Journal of the Royal Statistical Society A, 178(3): 705-723, LINK
  • Lagona F, Picone M, Maruotti A and Cosoli S (2015) A hidden Markov approach to the analysis of space-time environmental data with linear and circular components. Stochastic Environmental Research and Risk Assessment 29: 397-409, LINK
  • Bulla J, Lagona F, Maruotti A and Picone M (2015) Environmental conditions in semi-enclosed basins: A dynamic latent class approach for mixed-type multivariate variables. Journal de la Societé Française de Statistique, 156: 114-136, LINK


  • Lagona F, Jdanov D and Shkolnikova M (2014) Latent time-varying factor in longitudinal analysis: a linear mixed hidden Markov model for heart rates. Statistics in Medicine 33: 4116–4134, LINK
  • Lagona F and Picone M (2013) Maximum likelihood estimation of bivariate circular hidden Markov models from incomplete data. Journal of Statistical Computation and Simulation 83(7), 1223-1237, LINK
  • Bulla J, Lagona F, Maruotti A and Picone M (2012) A multivariate hidden Markov model for the identification of sea regimes from incomplete skewed and circular time series. Journal of Agricultural, Biological and Environmental Statistics 17(4): 544-567, LINK
  • Lagona F and Picone M (2012) Model-based clustering of multivariate skew data with circular components and missing values. Journal of Applied Statistics 39(5): 927-945, LINK
  • Basili A, Lagona F, Roberti di Sarsina P, Basili C, Paterna TV (2011). Allopathic versus Homeopathic Strategies and the Recurrence of Prescriptions: Results from a Pharmacoeconomic Study in Italy. Evidence-Based Complementary and Alternative Medicine, Article ID 969343, 6 pages, LINK
  • Lagona F and Picone M (2011) A latent-class model for clustering incomplete linear and circular data in marine studies, Journal of Data Science, 9(4): 585-605. LINK
  • Lagona F, Zhang Z (2010) A missing composite covariate in survival analysis: A case study of the Chinese Longitudinal Health and Longevity Survey, Statistics in Medicine, 29: 248-261, LINK
  • Picone M, Lagona F, Nardone G and Bencivenga M (2010) A latent-class approach to missing value imputation in incomplete multivariate wave metric datasets. Rapports et Proces-Verbaux des Reunions Commission Internationale pour l’exploration scientifique de la mer Mediterranee, 39: 160

before 2010

  • Minois N, Lagona F, Frajnt M, Vaupel J (2009). Plasticity of Death Rates in Stationary Phase in Saccharomyces cerevisiae. Aging Cell, 8: 33-44, LINK
  • Lagona F, Padovano F (2008) The Political Legislation Cycle. Public Choice, 134: 201-229, LINK
  • Klauenberg K, Lagona F (2007) Hidden Markov Random Field Models for TCA Image Analysis. Computational Statistics and Data Analysis, 52: 855-868, LINK
  • Lagona F, Padovano F (2007) A Nonlinear Principal Component Analysis of the Relationship between Budget Rules and Fiscal Performance in the European Union. Public Choice, 130: 401-436, LINK
  • Minois N, Frajnt M, Dolling M, Lagona F, Schmid M, Kuchenhoff H, Gampe J, Vaupel JW (2006) Symmetrically dividing cells of the fission yeast Schizosaccharomyces pombe do age. Biogerontology 7: 261-267, LINK
  • Jona Lasinio G, Lagona F (2003) Selection of the Neighborhood Structure for Space-Time Markov Random Fields. Statistical Methods and Applications 11: 293-311, LINK
  • Lagona F (2002) Adjacency Selection in Markov Random Fields for High Resolution, Hyperspectral Data. Journal of Geographical Systems 4: 53-68, LINK
  • Lagona F (2001) Parametric Restrictions in Random Fields for Binary Space-Time Series. Metron 59: 73-97, LINK
  • Griffith DA and Lagona F (1998) On the Quality of Maximum Likelihood Estimators in Spatial Autoregressive Models when the Data Dependence Structure is Misspecified. Journal of Statistical Planning and Inference 69: 153-174, LINK
  • Lagona F (1994) Interaction Levels in an Autoregressive Graphical Model. Metron 52: 113-141

BOOK CHAPTERS (1996-2019)

  • Lagona F (2018) A hidden Markov random field with copula-based emission distributions for
    the analysis of spatial cylindrical data. In: M. Cameletti and F. Finazzi (Eds) Quantitative Methods in Environmental and Climate Research, Springer Nature Switzerland, 121-136
  • Lagona F (2018) Correlated cylindrical data. In: C. Ley and T. Verdebout (Eds) Applied Directional Statistics: Modern Methods and Case Studies, Chapman and Hall/CRC, 45-59
  • Lagona F (2017) Copula-based segmentation of environmental  time series with linear and circular components. In: A. Petrucci and R. Verde (Eds) SIS 2017. Statistics and Data Science: new challenges, new generations. 28-30 June 2017 Florence (Italy) : Proceedings of the Conference of the Italian Statistical Society, Firenze University Press, 569-574. LINK
  • Lagona F (2016) A hidden Markov approach to the analysis of incomplete multivariate longitudinal data. In: F. Mola and C. Conversano (Eds.) CLADAG 2015 10th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, CUEC, 243-248.
  • Bencivenga M, Lagona F, Maruotti A, Nardone G and Picone M (2016) Unsupervised classification of multivariate time series data for the identification of sea regimes. In: A. Giommi and G. Alleva (Eds) Studies of Theoretical and Applied Statistics, Springer, 61-71, LINK
  • Lagona F (2014). Regression analysis of correlated circular data based on the multivariate von Mises distribution. In: (a cura di): Cabras S, Di Battista T, Racugno W, 47th SIS Scientific Meeting of the Italian Statistical Society. CAGLIARI: CUEC – Cooperativa Universitaria Editrice Cagliaritana
  • Lagona F and Picone M (2013) A Gaussian – Von Mises Hidden Markov model for clustering multivariate linear-circular data. In: P. Giudici, S. Ingrassia and M. Vichi (Eds.) Statistical Models for Data Analysis, Springer, 171-179, LINK
  • Lagona F (2013) Model-based classification of clustered binary data with nonignorable missing values. In: N Torelli, F. Pesarin and A. Bar-Hen (Eds.) Advances in Theoretical and Applied Statistics. Studies of Theoretical and Applied Statistics, Springer, 155 – 165, LINK
  • Lagona F and Picone M (2013) Classification of multivariate linear-circular data with nonignorable missing values, In: M. Grigoletto, F. Lisi and S. Petrone (Eds.) Complex Models and Computational Methods in Statistics, Springer, 161 – 173, LINK
  • Lagona F, Maruotti A and Picone M (2011) A Non-Homogeneous Hidden Markov Model for the Analysis of Multi-Pollutant Exceedances Data, In: P Dymarski (Ed.) Hidden Markov Models: Theory and Applications, Intech, 207-222, LINK
  • Lagona F (2010) Model Selection in Markov Random Fields for High Spatial Resolution Hyperspectral Data. In: Fisher MM and Getis A (Eds) Handbook of Applied Spatial Analysis, Springer, 549-567, LINK
  • Streso K and Lagona F (2006) Hidden Markov Random Field and Frame Modelling for TCA Image Analysis. In: M.H. Hamza (Ed.) Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, ACTA Press, 310-315, LINK
  • Lagona F (2005) A Spatial Generalized Linear Model for Mortality Surfaces. In: Atti del Convegno SCO 2005 “Modelli Complessi e Metodi Computazionali Intensivi per la Stima e la Previsione”. Bressanone, Sept 2005, CLEUP, 139-144
  • Lagona F (2005) Air Quality Indices via Non Homogeneous Hidden Markov Models. In: Atti del Convegno Intermedio della Società Italiana di Statistica. Messina. June 2005, CLEUP, 91-94
  • Lagona F (2004) Local Likelihood Methods to Smooth Hazard Rates from Grouped Data. In: Atti della XLII Riunione Scientifica della Società Italiana di Statistica. Bari. June 2004, CLEUP, 361-364
  • Barbi E and Lagona F (2002) Modelling Human Mortality Trajectories via an Accelerated-Ageing Hazard Function. In: Atti della XLI Riunione Scientifica della Societa’ Italiana di Statistica, Milano-Bicocca, June 2002, CLEUP
  • Lagona F (1999) Sulla Stima di Dati Mancanti nell’Analisi delle Serie Spaziali. In: Atti della XXXIX Riunione Scientifica SIS – Sorrento April 1998 , Istituto di Statistica e Matematica, Istituto Universitario Navale, Napoli, 765-772.
  • Lagona F (1996) Linear Structural Dependence of Degree One among Data: a Statistical Model. In: Camiz S and Stefani S (Eds) Matrices and Graphs: Theory and Applications, World Publishing, 223-232.