Antonio D'Ambrosio



PhD in Statistics
Assistant Professor
Department of Industrial Engineering

University of Naples Federico II
Piazzale Tecchio, 80125 Napoli (Italy)
Phone: +39 081 675111
mail antdambr@unina.it




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(Per gli studenti frequentanti i corsi di Statistica
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Antonio D'Ambrosio is researcher in Statistics at Department of Industrial Engineering of the University of Naples Federico II.
He took a degree in Economics at University of Naples Federico II by defending a degree thesis in statistics named Algoritmi  di ricampionamento e aggregazione di classificatori per la validazione statistica delle regole di decisione (supervisor prof. dr. Roberta Siciliano).
From November 2004 to November 2007 he was Ph.D. student at Department of Mathematics and Statistics of the University of Naples Federico II (Coordinator prof. Natale Carlo Lauro, supervisor prof. dr. Roberta Siciliano). 
In that time he studied (for a brief but intensive period) at Charles University of Prague (working with prof. dr. Jaromìr Antoch) as well as he studied at Leiden University (working with prof. dr. Willem Heiser and prof. dr. Ab Mooijaart).
He took the Ph.D. in Statistics by defending a Ph.D. thesis named Tree-based methods for Data Editing and Preference Rankings.
He was research assistant at Department of Mathematics and Statistics of the University of Naples Federico II working at the European Research Project integrated Web Services Platform for the facilitation of fraud detection in health care e-government service - iWebCare  (Scientific coordinator prof. dr. Roberta Siciliano).
He's been member of the National Interest Research Project (PRIN) Classificazione e regressione ad albero: metodi, tecnologie open source e casi studio (Scientific coordinator prof. dr. Roberta Siciliano).
He is member of the STAD research group.
He is member of the International Statistical Institute (ISI).

He is member of the International Association for Statistical Computing (IASC).
He is member of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG).
He is member of the Italian Statistical Society (SIS).

Distinguishing marks: Inter supporter!!!


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Main research interests are:
Computational Statistics, Classification and Regression Trees, Multivariate data analysis, Regression modeling (including both parametrics and non-parametrics models), Data Editing, Missing Data theory, Data Fusion, Preference rankings theory.

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Publications

Amodio, S., Aria, M., D'Ambrosio, A. On concurvity in nonlinear and nonparametric regression models. Statistica, forthcoming

Heiser W.J., D’Ambrosio A. (2013). Clustering and Prediction of Rankings within a Kemeny Distance Framework. In Berthold, L., Van den Poel, D, Ultsch, A. (eds). Algorithms from and for Nature and Life. pp-19-31. Springer international. DOI: 10.1007/978-3-319-00035-0_2.

Iorio, C., Aria, M., D'Ambrosio, A. (2013). Visual model representation and selection fo classification and regression trees.  In Minerva, Morlini, Palumbo (Eds.), 9th meeting of the Classification and Data Analysis Group, Book of short papers, p. 276-279, CLEUP.


Siciliano R., D'Ambrosio A. (2012). Statistical monitoring of tourism in the knowledge era. In Morvillo A. (Ed.).  Advances in Tourism Studies. McGrow-Hill, pp. 231-258.

D'Ambrosio A., Aria M., Siciliano R.  (2012). Accurate Tree-based Missing Data Imputation and Data Fusion within the Statistical Learning Paradigm, Journal of Classification, vol. 29(2), pp. 227-258. DOI: 10.1007/s00357-012-9108-1.

Montella  A.,  Aria  M.,  D’Ambrosio  A.,  Mauriello  F. (2012). Data  Mining Techniques  for  Exploratory  Analysis  of Pedestrian  Crashes.  Transportation Research  Record -  Journal  of  Transportation  Research  Board. Vol. 2237/2011, pp.107-116. DOI: 10.3141/2237-12. 

D’Ambrosio A. (2012). Missing Data Imputation within the Statistical learning Paradigm. Proceedings of the 46th Scientific Meeting Of The Italian Statistical Society.

Piscitelli A., D’Ambrosio A. (2012). Assessing assumptions for data fusion procedures. Proceedings of the 46th Scientific Meeting Of The Italian Statistical Society.

Siciliano R., Aria M., D’Ambrosio A., Tutore V.A. (2011). Indagine statistica sulle aspettative e priorità per soddisfare il turista a Napoli, in Becheri E., Maggiore G. (a cura di), XVII rapporto sul turismo italiano, Franco Angeli, pp. 449-470.

D'Ambrosio A., Tutore V.A. (2011). Conditional classification trees by weighting the Gini impurity measure, New Perspectives in Statistical Modeling and Analysis, Springer series in Studies in Classification, Data Analysis, and Knowledge Organization, DOI10.1007/978-3-642-11363-5_31, Springer-Verlag Berlin Heidelberg, pp. 273-280

Montella A., Aria M., D'Ambrosio A., Mauriello F. (2011). Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery. Accident Analysis & Prevention, in press. DOI: 10.1016/j.aap.2011.04.025

D'Ambrosio A., Pecoraro M. (2011). Multidimensional Scaling as Visualization tool of Web Sequence Rules, in B. Fichet et al. (eds.), Classification and Multivariate Analysis for Complex Data Structures, studies in Classification, Data Analysis, and Knowledge Organization, Springer-Verlag, pp. 307-314. DOI: 10.1007/978-3-642-13312-1_32

Montella A., Aria M., D’Ambrosio A., Galante F., Mauriello F., Pernetti, M. (2011). Simulator evaluation of drivers' speed, deceleration and lateral position at rural intersections in relation to different perceptual cues. Accident Analysis & Prevention, 43(6), pp. 2072-2084,  DOI: 10.1016/j.aap.2011.05.030.


D'Ambrosio A., Heiser W.J. (2011). Distance-based multivariate trees for rankings. Thechnical report, University of Napoli Federico II, Leiden University. 

Galante F., Mauriello F., Montella A., Pernetti M., Aria M., D'Ambrosio A. (2010). Traffic Calming Along Rural Highways Crossing Small Urban Communities: a Driving Simulator Experiment, Accident Analysis & Prevention, vol. 42(6), pp. 1585-1594. DOI: 10.1016/j.aap.2010.03.017

Siciliano R., Tutore V.A., Aria M., D'Ambrosio A. (2010). Trees with leaves and without leaves. In 45th scientific meeting of the Italian Statistical Society.

Montella A., Aria M., D’Ambrosio A., Galante F., Mauriello F., Pernetti, M. (2010). Perceptual Measures to Influence Operating Speeds and Reduce Crashes at  Rural Intersections, Transportation Research Record – Journal of Transportation Research Board, vol. 2149, pp. 11-20. DOI: 10.3141/2149-02

D'Ambrosio A., Tutore V.A. (2009). Kemeny's axiomatic approach to find consensus ranking in tourist satisfaction, Statistica Applicata (Italian Journal of Applied Statistics), vol 20(1),  pp. 21-32

D'Ambrosio A., Heiser W.J. (2009). Decision Trees for Preference Rankings. Invited talk: Classification and Data Analisys 2009, Book of short papers (Catania, September 9-11, 2009), CLEUP Padova, 133-136.

Tutore V.A., D'Ambrosio A. (2009).Three-Way Data Analysis by Tree-Based Partitioning. Classification and Data Analisys 2009, Book of short papers (Catania, September 9-11, 2009), CLEUP Padova, 641-644.

Siciliano, R., Aria, M., D’Ambrosio, A. (2008).  Posterior Prediction Modelling of Optimal Trees, in Proceedings in Computational Statistics (COMPSTAT 2008), 18th Symposium Held in Porto, Portugal, Brito, Paula (Ed.), Springer-Verlag, pp. 323-334

D’Ambrosio, A., Pecoraro M. (2008). Web Structure Mining through implicit behaviors via Multidimensional Scaling, in Proceedings of the First joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society (SFC-CLADAG 2008), pp. 261-264.

Aria M., D’Ambrosio A. (2008). A non parametric pre-grafting procedure for data fusion, Proceedings of the MTISD 2008 (Metodi, Modelli e Tecnologie dell’Informzione a Supporto delle Decisioni), Coordinamento SIBA, Università del Salento, pp. 333-336

Giordano G., D’Ambrosio A. (2008). Multi-Class Budget Tree as weak learner for ensemble procedures,  proceedings della XLIV riunione scientifica della Società Italiana di Statistica (sezione poster)

D’Ambrosio A., Aria M., Siciliano R. (2007), Robust Tree-based Incremental Imputation Method for Data Fusion.  Lecture notes in computer science 4723  (Advances in Intelligent Data Analysis), Springer-Verlag, pp 174-183.

Aria M., D’Ambrosio A.,  Siciliano R. (2007), Robust Incremental Trees for Missing Data Imputation and Data Fusion. Classification and Data Analisys 2007, Book of short papers (Macerata, September 12-14, 2007), EUM macerata, 287-290.

Siciliano R., Aria., D’Ambrosio A. (2006), Boosted incremental tree-based imputation of missing data.  Data Analysis, Classification and the Forward Search. Springer series in Studies in Classification, Data Analysis, and Knowledge Organization. Springer-Verlag, pp. 271-278.

Siciliano R., Aria., D’Ambrosio A. (2005), Boosted stump algorithm for missing data incremental imputation. Invited talk: CLADAG 2005,  Book of Short Papers (Parma, June 6-8, 2005), MUP, Parma, 161-164.



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