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Antonello Maruotti

Professore associato
Sede: Roma
Dipartimento: Scienze economiche, politiche e delle lingue moderne
Corso di laurea: Economia aziendale e bancaria - Scienze politiche e relazioni internazionali

Insegnamenti e orario di ricevimento

  • Metodologia delle scienze statistiche e sociali

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  • Statistica

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  • Statistica per l'economia

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  • Curriculum Vitae

    Dal 2015 - Professore Associato, s.s.d. SECS-S/01, presso il Dipartimento di Scienze Economiche, Politiche e delle Lingue Moderne, Libera Università Maria Ss Assunta

    Dal 2015 - Centre for Innovation and Leadership in Health Sciences, University of Southampton, Southampton, UK

    2012 – 2015 Southampton Statistical Sciences Reserach Institute, University of Southampton, Southampton, UK

    2008 - 2015 Ricercatore universitario, s.s.d. SECS/S-01, presso il Dipartimento di Scienze Politiche, Università di Roma Tre.

    2010/2011 – Invited researcher presso il Laboratorio di Matematica (Prof. Jan Bulla), Université de Caen, Caen.

    2010 – Visiting researcher presso il Dipartimento di Econometria e Statistica, (Prof. Walter Zucchini), Georg-August University, Goettingen.

    2008 – Assegnista di Ricerca con riferimento al programma di ricerca “Modelli gerarchici per l’analisi delle interazioni spaziali e spazio-temporali in serie di dati”, s.s.d. SECS/S01, presso il Dipartimento di Istituzioni Pubbliche, Economia e Società, Facoltà di Scienze Politiche, Università di Roma Tre.

    2008 – Dottorato in Statistica Metodologica (XX ciclo, A.A. 2004/2007), Dipartimento di Statistica, Probabilità e Statistiche Applicate, Università di Roma “La Sapienza” con Tesi su “Hidden Markov models for longitudinal data”. Supervisore: Prof. M. Vichi.

    2006 – Visiting researcher presso il Dipartimento di Statistica Matematica. (Prof. Tobias Rydén), Lund University.

    2004 – Corso di Perfezionamento in Economia Sanitaria e Management Sanitario, Facoltà di Economia, Università di Roma “Tor Vergata”.

    2003 – Laureato in Scienze Statistiche ed Economiche con Tesi su “I nuovi strumenti di intervento per il Mezzogiorno”. Relatore: Prof. F. Nucci.


    Principali pubblicazioni

    MARUOTTI A, BULLA J, LAGONA F, PICONE M, MARTELLA F (2017). Dynamic mixtures of factor analyzers to characterize multivariate air pollutant exposures. THE ANNALS OF APPLIED STATISTICS,

    MASTRANTONIO G., JONA-LASINIO G., MARUOTTI A., CALISE G. (2017). Invariance properties and statistical inference for circular data. STATISTICA SINICA,

    MARUOTTI A; PUNZO (2017). Model-based time-varying clustering of multivariatelongitudinal data with covariates and outliers.. COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 113, p.475 - 496

    BERNARDI M, MARUOTTI A, PETRELLA L (2017). Multiple risk measures for multivariate dynamic heavy-tailed models. JOURNAL OF EMPIRICAL FINANCE, vol. 43, p.1 - 32

    ANAN O; BOHNING D; MARUOTTI A (2017). Population size estimation and heterogeneityin capture-recapture data: A regression estimator based on the Conway-Maxwell-Poisson distribution.. STATISTICAL METHODS & APPLICATIONS, vol. 26, p.49 - 79

    MARUOTTI A, ANAN O (2017). The Conway-Maxwell-Poisson distribution and capture-recapture count data. (a cura di) Dankmar Bohning, Peter G.M. Van der Heijden, John Bunge, Capture-Recapture Methods for Social and Medical Sciences. p.39 - 54 , ISBN: 9781498745314

    ANAN O, BOHNING D, MARUOTTI A (2017). Uncertainty estimation in heterogeneous capture-recapture count data. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol. 87, p.2094 - 2114

    RAPONI V; MARTELLA F; MARUOTTI A (2016). A biclustering approach to universityperformances: an Italian case study.. JOURNAL OF APPLIED STATISTICS, vol. 43, p.31 - 45

    MARUOTTI A, PUNZO A, MASTRANTONIO G, LAGONA F (2016). A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure. STOCH. ENVIRON. RES. RISK ASSESS., vol. 30, p.1725 - 1740

    MARUOTTI A (2016). Analyzing longitudinal circular data by projected normal models: a semi-parametric approach based on finite mixture models. ENVIRON. ECOL. STAT., vol. 23, p.257 - 277

    MAGRI' D; LIMONGELLI G; RE F; AGOSTONI P; ZACHARA E; CORREALE M; MASTROMARINO V; SANTOLAMAZZA C; CASENGHI M; PACILEO G; VALENTE F; MUSUMECI B; MARUOTTI A; VOLPE M; AUTORE C (2016). Cardiopulmonary exercise test and sudden cardiacdeath risk in hypertrophic cardiomyopathy.. HEART, vol. 102, p.602 - 609

    PUNZO A; MARUOTTI A (2016). Clustering multivariate longitudinal observations: The contaminated Gaussian hidden Markov model. J. COMPUT. GRAPH. STAT., vol. 25, p.1097 - 1116

    GUERRA C.F.; CORRIDORE D.; MAZUR M.; RINALDO F.; MERGE' F.; PASQUALOTTO D.; VICHI M.; MARUOTTI A.; NARDI G.M.; OTTOLENGHI L (2016). Early caries detection: comparison of two procedures. A pilot study.. Senses & Sciences, vol. 3, 4, p.317 - 322 , DOI: 10.14616/sands-2016-4-317322

    MARUOTTI A; RAPONI V; LAGONA F (2016). Handling endogeneity and non-negativityin correlated random effects models: evidence from ambulatory expenditure.. BIOMETRICAL JOURNAL, vol. 58, p.280 - 302

    Magrì D, Re F, Limongelli G, Agostoni P, Zachara E, Correale M, Mastromarino V, Santolamazza C, Casenghi M, Pacileo G, Valente F, Morosin M, Musumeci M, Pagannone E, Maruotti A, Uguccioni M, Volpe M, Autore C (2016). Heart failure progression in hypertrophic cardiomyopathy. Possible insights from cardiopulmonary exercise testing. . CIRC. J., vol. 80, p.2204 - 2211

    GRIFFITHS P; BALL J; DRENNAN J; DALL'ORA C; JONES J; MARUOTTI A; POPE C; RECIO SAUCEDO A; SIMON M (2016). Nurse staffing and patient outcomes: strengths andlimitations of the evidence to inform policy and practice. A review and discussionpaper based on evidence reviewed for the National Institute for Health and CareExcellence Safe Staffing guideline development. INTERNATIONAL JOURNAL OF NURSING STUDIES, vol. 63, p.213 - 225

    DE CECCO CN; CIOLINA M; ANNIBALE B; RENGO M; BELLINI D; MUSCOGIURI G; MARUOTTI A; SABA L; IAFRATE F; LAGHI A (2016). Prevalence and distribution ofcolonic diverticula assessed with CT colonography (CTC).. EUROPEAN RADIOLOGY, vol. 26, p.639 - 645

    MARUOTTI A; VICHI M (2016). Time-varying clustering of multivariate longitudinal observations. COMMUNICATIONS IN STATISTICS. THEORY AND METHODS, vol. 45, p.430 - 445 , DOI: 10.1080/03610926.2013.821488

    BENCIVENGA M, LAGONA F, MARUOTTI A, NARDONE G, PICONE M (2016). Unsupervised classifi cation of multivariate time series data for the identification of sea regimes. (a cura di) ALLEVA G, GIOMMI A, Topics in Theoretical and Applied Statistics. p.61 - 71 , ISBN: 978-3-319-27272-6

    LAGONA F; PICONE M; MARUOTTI A; 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, vol. 29, 2, p.397 - 409 , DOI: 10.1007/s00477-014-0919-y

    LAGONA F; PICONE M; MARUOTTI A (2015). A hidden Markov model for the analysisof cylindrical time series.. ENVIRONMETRICS, vol. 26, p.534 - 544

    MASTRANTONIO G; MARUOTTI A; JONA LASINIO G (2015). Bayesian Hidden Markov Modelling Using Circular-Linear General Projected Normal Distribution. ENVIRONMETRICS, vol. 26, p.145 - 158 , DOI: 10.1002/env.2326

    MAGRI' D, AGOSTONI P, CORRA' U, PASSINO C, SCRUTINIO D, PERRONE-FILARDI P, CORREAL M, CATTADORI G, METRA M, GIROLA D, PIEPOLI MF, IORIO AM, EMDIN M, RAIMONOD, R, RE F, CICORIA M, BELARDINELLI R, GUAZZI M, LIMONGELLI G, CLEMENZA F, PARATI G, FRIGERIO M, CASENGHI M, SCARDOVI AB, FERRAIRONI A, DI LENARDA A, BUSSOTTI M, APOSTOLO A, PAOLILLO S, LA GIOIA R, GARGIULO P, PALERMO P, MINA' C, FARINA S, BATTAIA E, MARUOTTI A, PACILEO G, CONTINI M, OLIVA F, RICCI R, SINAGRA G (2015). Deceptive meaning of oxygen uptake measured at the anaerobic threshold in patients with systolic heart failure and atrial brillation. EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY (PRINT), vol. 22, p.1046 - 1055

    BULLA J; LAGONA F; MARUOTTI A; PICONE M (2015). Environmental conditions in semi-enclosed basins: A dynamic latent class approach for mixed-type multivariate variables. JOURNAL DE LA SFDS, vol. 156, p.114 - 136

    MARUOTTI A (2015). Handling non-ignorable dropouts in longitudinal data: A conditional model based on a latent Markov heterogeneity structure. TEST,

    LAGONA F; MARUOTTI A; PADOVANO F (2015). Multilevel multivariate modelling of legislative count data, with hidden Markov chain. JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A, STATISTICS IN SOCIETY, vol. 178, p.705 - 723

    MAGRI' D; BANFI C; MARUOTTI A; FARINA S; VIGNATI C; SALVIONI E; MOROSIN M; BRIOSCHI M; GHILARDI S; TREMOLI E; AGOSTONI; P (2015). Plasma immature form of surfactant protein type B correlates with prognosis in patients with chronic heart failure. A pilot single-center prospective study.. INTERNATIONAL JOURNAL OF CARDIOLOGY, vol. 201, p.394 - 399

    Magrì D; Piccirillo G; Ricotta A; De Cecco CN; Mastromarino V; Serdoz A; Muscogiuri G; Gregori M; Casenghi M; Cauti FM; Oliviero G; Musumeci MB; Maruotti A; Autore C (2015). SPATIAL QT DISPERSION PREDICTS NON-SUSTAINED VENTRICULAR TACHYCARDIA AND CORRELATES WITH A CONFINED SYSTO-DIASTOLIC DYSFUNCTION IN HYPERTROPHIC CARDIOMYOPATHY. CARDIOLOGY, vol. 131, p.121 - 129

    PIERINI A; MARUOTTI A (2014). A Multivariate Stochastic Volatility Model for Portfolio Risk Estimation. In: Carpita M., Brentari E. Qannari E.M.. ADVANCES IN LATENT VARIABLES. BERLIN:Springer, , DOI: 10.1007/10104_2014_17

    MAGRI' D; CORRA' U; DI LENARDA A; CATTADORI G; MARUOTTI A; IORIO A; MEZZANI A; GIANNUZZI P; MANTEGAZZA V; GONDONI E; SINAGRA G; PIEPOLI M; FIORENTINI C; AGOSTONI P (2014). Cardiovascular mortality and chronotropic incompetence in systolic heart failure. Theimportance of a reappraisal of current cut-off criteria. EUROPEAN JOURNAL OF HEART FAILURE, vol. 16, 2, p.201 - 209

    MAGRI' D; AGOSTONI P; CAUTI F M; MUSUMECI B; ASSENZA G E; DE CECCO C N; MUSCOGIURI G; MARUOTTI A; RICOTTA A; PAGANNONE E; MARINO L; SANTINI D; PROIETTI G; SERDOZ A; PANENI F; VOLPE M; AUTORE C (2014). Determinants of peak oxygen uptake in patients with hypertrophic cardiomyopathy: a single-center study. INTERNAL AND EMERGENCY MEDICINE, vol. 9, p.293 - 302 , DOI: 10.1007/s11739-012-0866-x

    MARUOTTI A (2014). Latent Markov Models for longitudinal data. METRON, , DOI: 10.1007/s40300-014-0035-2

    MARUOTTI A; RAPONI V (2014). On baseline conditions for zero-Inflated longitudinal count data. COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION, vol. 43, p.743 - 760 , DOI: 10.1080/03610918.2012.714032

    Magrì D; De Cecco C N; Piccirillo G; Mastromarino V; Serdoz A; Muscogiuri G; Ricotta A; Gregori M; Marino L; Cauti F M; Pagannone E; Musumeci M B; Maruotti A; Autore C (2014). Relationship between myocardial repolarization dispersion and late gadolinium enhancement in patients with hypertrophic cardiomyopathy. CIRCULATION JOURNAL, vol. 78, 5, p.1216 - 1223

    MARUOTTI A (2014). Robust fitting of hidden Markov regression models under a longitudinal setting. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol. 84, p.1728 - 1747 , DOI: 10.1080/00949655.2013.763943

    BELLOC F; BERNARDI M; MARUOTTI A; PETRELLA L (2013). A dynamic hurdle model for zero-inflated panel count data. APPLIED ECONOMICS LETTERS, vol. 20, p.837 - 841

    MARK T; VANDEBOSCH M; LEMON K; BULLA J; MARUOTTI A (2013). Capturing the evolution of customer-firm relationships: How customers become more (or less) valuable over time. JOURNAL OF RETAILING, vol. 89, 3, p.231 - 245 , DOI: http://dx.doi.org/10.1016/j.jretai.2013.04.001

    MARTINEZ-ZARZOSO I; MARUOTTI A (2013). The Environmental Kuznets Curve: functional form, time-dependent heterogeneity and outliers in a panel setting. ENVIRONMETRICS, vol. 24, 7, p.461 - 475 , DOI: 10.1002/env.2232

    SPARABOMBE S; GUERRA F; MARUOTTI A; DE SANCTIS R; DI GIORGIO G; PALAIA G; ROMEO U; BARBATO E (2013). Validity and reliability of a new instrument for the evaluation of dental collaboration in disabled people. EPIDEMIOLOGY BIOSTATISTICS AND PUBLIC HEALTH,

    BELLOC F; MARUOTTI A; PETRELLA L (2012). A correlated random effects model for longitudinal data with non-ignorable drop-out: an application to university student performance. In: A. DI CIACCIO M. COLI J.M. ANGULO IBANEZ. Advanced Statistical Methods for the Analysis of Large Data-Sets. Berlin:Springer, , ISBN: 978-3-642-21036-5

    MARUOTTI A; ROCCI R (2012). A mixed non-homogeneous hidden Markov model for categorical data, with application to alcohol consumption. STATISTICS IN MEDICINE, vol. 31, 8, p.871 - 886 , DOI: 10.1002/sim.4478

    BULLA J; LAGONA F; MARUOTTI A; 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, vol. 17, 4, p.544 - 567 , DOI: 10.1007/s13253-012-0110-1

    PICCIRILLO G; MAGRI' D; PAPPADA' M; MARUOTTI A; OGAWA M; HAN S; JOUNG B; ROSSI P; NGUYEN B; LIN S; CHEN P (2012). Autonomic nerve activity and the short term variability of Tpeak-Tend interval in dogs with pacing-induced heart failure. HEART RHYTHM, vol. 9, 12, p.2044 - 2050 , DOI: 10.1016/j.hrthm.2012.08.030

    MARUOTTI A; MARTELLA F (2012). Clustering Multivariate Longitudinal Data: Hidden Markov of Factor Analyzers. XLVI Riunione Scientifica SIS.

    BARBU V; BULLA J; MARUOTTI A (2012). Estimation of the stationary distribution of a semi-Markov chain. JOURNAL OF RELIABILITY AND STATISTICAL STUDIES, vol. 5, p.15 - 26

    Auteri M; Maruotti A (2012). Modelling waiting times in the Italian National Health Service. APPLIED ECONOMICS LETTERS, p.459 - 465 , DOI: 10.1080/13504851.2011.583210

    Maruotti A; Raponi V (2012). On baseline conditions for zero-inflated longitudinal count data. Working Papers CREI.

    BERNARDI M; MARUOTTI A; PETRELLA L (2012). Skew Mixture Models for Loss Distributions: A Bayesian Approach. INSURANCE MATHEMATICS & ECONOMICS, 51, p.617 - 623

    ALFO' M; MARUOTTI A; TROVATO G (2011). A finite mixture model for multivariate counts under endogenous selectivity. STAT. COMPUT., vol. 21, p.185 - 202 , DOI: 10.1007/s11222-009-9159-2

    LAGONA F; MARUOTTI A; PICONE M (2011). A non-homogeneous hidden Markov model for the analysis of multi-pollutant exceedances data. In: PRZEMYSLAW DYMARSKI. Hidden Markov Models, Theory and Applications. Rijeka:InTech, p.207 - 222 , ISBN: 978-953-307-208-1

    MARUOTTI A (2011). A two-part mixed-effects pattern mixture model to handle zero-inflation and incompleteness in a longitudinal setting. BIOMETRICAL JOURNAL, vol. 53, p.716 - 734

    BELLOC F; MARUOTTI A; PETRELLA L (2011). How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study. JOURNAL OF APPLIED STATISTICS, vol. 38, p.2225 - 2239

    MARUOTTI A (2011). Mixed hidden Markov models for longitudinal data: an overview. INTERNATIONAL STATISTICAL REVIEW, vol. 79, 3, p.427 - 454 , DOI: 10.1111/j.1751-5823.2011.00160.x

    MARTINEZ-ZARZOSO I; MARUOTTI A (2011). The impact of urbanization on CO2 emissions: Evidence from developing countries. ECOLOGICAL ECONOMICS, vol. 70, p.1344 - 1353 , DOI: 10.1016/j.ecolecon.2011.02.009

    ALFO' M; MARUOTTI A (2010). A hierarchical model for time dependent longitudinal data. In: PALUMBO, FRANCESCO, LAURO, CARLO NATALE, GREENACRE, MICHAEL EDS.. Studies in Classification, Data Analysis, and Knowledge Organization - Data Analysis and Classification. BERLIN, HEIDELBERG:Springer, p.271 - 279 , DOI: 10.1007/978-3-642-03739-9_31 , ISBN: 978-3-642-03738-2

    ALFO' M; MARUOTTI A (2010). Two-part regression models for longitudinal zero-inflated count data. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, vol. 38, p.197 - 216 , DOI: 10.1002/cjs.10056

    BELLOC F; MARUOTTI A; PETRELLA L (2010). University drop-out: an Italian experience. HIGHER EDUCATION, vol. 60, p.127 - 138 , DOI: 10.1007/s10734-009-9290-1

    ALFO' M; MARUOTTI A (2009). A selection model for longitudinal binary responses subject to non-ignorable attrition. STAT. MED. (PRINT), vol. 28 (19), p.2435 - 2450 , DOI: 10.1002/sim.3604

    MARUOTTI A; RYDÉN T (2009). A Semiparametric Approach to Hidden Markov Models under Longitudinal Observations. STATISTICS AND COMPUTING, vol. 19, p.381 - 393 , DOI: 10.1007/s11222-008-9099-2

    MARUOTTI A (2009). Fairness of National Health Service in Italy: a bivariate correlated random effects model. JOURNAL OF APPLIED STATISTICS, vol. 36, p.709 - 722 , DOI: 10.1080/02664760802499311

    CLEMENTI L; MARUOTTI A (2007). Efficiency indicators versus frontier methods: an empirical investigation of Italian public hospitals. STATISTICA,


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