Personale docente

Born on August 5, 1969. Italian citizen.

Phone:            (+39) 0521 902 482

Fax:               (+39) 0521 902 357

Email:            aldo.corbellini@unipr.it

Homepage:      https://www.unipr.it/ugov/person/15066

Education

Ph.D. Economics, Thesis Title: A Bayesian Approach to the Forward Search, Department of Economics, University of Parma, Italy, 2013.

Certified Professional Business Accountant (CPBA), Italian Accounting Order of Piacenza, Italy, 2001.

B.Sc. Economics, Thesis Title: Bivariate Boxplot: Theory and Economic Applications, Department of Eco- nomics, University of Parma, Italy 1997.

Previous positions

2021-        Associate Professor in Economic Statistics, Department of Economics and Management, University of Parma.

2018-2021 Researcher type B in Economic Statistics, Department of Economics and Management, Uni- versity of Parma.

2015-2018 Researcher type A in Statistics, Department of Economics and Management, University of Parma.

2014-2015 Research Fellow in Economic Statistics, Department of Economics and Management, Uni- versity of Parma.

2004-2009 Research Fellow in Statistics, Department of Economics, Catholic University of Sacred Hearth of Piacenza.

2001-2004 Research Fellow in Statistics, Department of Economics, University of Parma.

Visiting Periods

JRC, Visiting Scientist since February 1, 2019, at the ’Joint Research Centre’ of the European Commis- sion, Ispra, Italy. This collaboration led to the creation of several projects 9n the form of scientific, technical, and academic publications, e.g. the scientificarticle entitled ’fsdaSAS: A Package for Robust Regression for Very Large Datasets Including the Batch Forward Search,’ published in thejournal Stats.

JRC, Invited Expert since 2013 at the ’Joint Research Centre’ of the European Commission, Ispra, Italy.

2025- Principal Investigator of the project in collaboration with the Joint Research Centre of the Euro- pean Community and theUniversity of Valladolid (ES): Robust statistical tools for the analysis of large and heterogeneous customs data.

2022- Member of the research unit of the University of Parma, project: Robust statistical methods for the detection of frauds and anomalies in complex and heterogeneous data.

2022- PRIN: member of the research unit of Parma of the Italian Ministry of Education and Research, project: Innovative statistical toolsfor the analysis of large and heterogeneous customs data.

2017-2019 Member of the research unit of the Univ. di Parma of the INAIL project: Development of activities for the management of first help activities inside work environments.

2016-2017 Member of the research unit of the Univ. di Parma of the INAIL project: Development of a portal for the evaluation of therisks in restricted or polluted work environments.

2013-2016 PRIN: member of the research unit of Parma of the Italian Ministry of Education and Re- search, project: Multivariate Analysis of Risk Assessment.

2009-2012 PRIN: member of the research unit of Parma of the Italian Ministry of Education and Re- search, project: New Robust Methods for the Analysis of Complex Data.

2008-2011 member of the joint bilateral project Italy-Spain, project: Robust methods for the classification and forecasts of multivariatedata, principal investigator Prof. Daniel Pena, University Carlo III of Madrid.

2004-2006 PRIN: member of the research unit of Parma of the Italian Ministry of Education and Re- search, project: Parametric and nonparametric forecasts of economic time series.

Honours

FIL 2016 winner with project: Porting and migration of the FSDA toolbox from MATLAB to open source: statistical application for linear and nonlinear models.

Best MATLAB contribution (co-author) at MATLAB Expo 2016 with MATLAB toolbox: Flexible Statis- tics Data Analysis (FSDA) based on robust statistic analysis.

Advanced & Specialized Training

2015 SIS School: Teoria e pratica dei modelli ad effetti casuali per dati multilivello e longitudinali, University of Florence, Italy, Feb., 23-27.

2015 Bayesian Statistics: Modelling, Computation and Testing, Ioannis Ntzoufras, Valen Johnson, Univer- sity Milano Bicocca, Italy, May, 18-29.

2015 ABS15 Applied Bayesian Statistics School: Modern Bayesian Methods And Computing For The Social Sciences, Villa delGrumello, Como, Italy Jun., 8-12.

2006 Metodi robusti di classificazione, Cerioli, Chiodi, Riani and Zani, Parma, Sept. 11-15, Department of Economics and Management of Parma.

2015-       Statistica, Department of Economics and Management of Parma, (9 CFU), lecturer.

2016-       Metodi statistici, Department of Economics and Management of Parma, (8 CFU), lecturer.

2008-2010 Metodi Quantitativi per la Politica Economica (5 CFU), Department of Economics, Catholic University of Sacred Hearth of Piacenza, lecturer.

2005-2007 Statistica Descrittiva (2 CFU), Statistica Inferenziale (2 CFU), and Statistica Economica (1 CFU) Department of Economics,Catholic University of Sacred Hearth of Piacenza, lecturer.

2000-2004 Costruzioni di Siti Internet (5 CFU), Department of Economics and Management of Parma,

lecturer.

1998-2000 Statistica Computazionale, Department of Economics and Management of Parma, (5 CFU),

lecturer.

Ph.D. and Master Courses

2016-  Statistical Methods in Python, (16 hours) inside Ph.D. Course: “Economia e Management dell’Innovazione e della Sostenibilità (EMIS)”, Department of Economics and Management of Parma, lecturer.

Specialized Courses

Assistant professor in the following SIS Courses:

2010, Robust multivariate methods for the analysis of economic data, 20-24 Sept. 2010. 2006, New approaches to the analysis of multidimensional data, 11-15 Sept. 2006.

2004, Modern approaches to the robust analysis of multidimensional data, 20-24 Sept. 2004.

Selected PublicationsInternational Journals

Marco Riani, Anthony C. Atkinson, Aldo Corbellini, and Gianluca Morelli. Robust tobit regression for censored observations usingextended box–cox transformations. Statistical Methods & Applications, 34(3):385–408, 2025

Marco Riani, Anthony C. Atkinson, Gianluca Morelli, and Aldo Corbellini. The use of modern robust regression analysis with graphics: An example from marketing. Stats, 8(1), 2025

Marco Riani, Anthony C. Atkinson, and Aldo Corbellini. Robust transformations for multiple regres- sion via additivity andvariance stabilization. Journal of Computational and Graphical Statistics, 33(1):85– 100, 2024

Marco Riani, Anthony C. Atkinson, Francesca Torti, and Aldo Corbellini. Robust Correspondence Analysis. Journal of the RoyalStatistical Society Series C: Applied Statistics, 71(5):1381–1401, 07 2022

Marco Riani, Anthony C. Atkinson, and Aldo Corbellini. Automatic robust box-cox and extended yeo-johnson transformations inregression. Statistical Methods & Applications, June 2022

Marco Riani, Anthony Curtis Atkinson, Aldo Corbellini, Alessio Farcomeni, and Fabrizio Laurini. In- formation criteria for outlier detection avoiding arbitrary significance levels. Econometrics and Statistics, 2022

Francesca Torti, Aldo Corbellini, and Anthony C. Atkinson. fsdaSAS: A package for robust regression for very large datasets including the batch forward search. Stats, (4):327––347, 2021

Anthony C. Atkinson, Marco Riani, and Aldo Corbellini. The analysis of transformations for profit- and-loss data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(2):251–275, April 2020

Aldo Corbellini, Marco Magnani, and Gianluca Morelli. Labor market analysis through transforma- tions and robust multivariatemodels. Socio-Economic Planning Sciences, page 100826, March 2020

Marco Riani, Anthony C. Atkinson, and Aldo Corbellini. The box-cox transformation: Review and extensions. Statistical Science, accepted for publication

Marco Riani, Anthony C. Atkinson, Aldo Corbellini, and Domenico Perrotta. Robust Regression with Density Power Divergence:Theory, Comparisons, and Data Analysis. Entropy, 22(4):399, March 2020

Marco Riani, Anthony C. Atkinson, Andrea Cerioli, and Aldo Corbellini. Comments on: Data science, big data and statistics. TEST, 28(2):349–352, June 2019

Anthony C. Atkinson, Aldo Corbellini, and Gianluca Morelli. Discussion on the meeting on ‘Data vi- sualization’. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182(2):419–441, February 2019

Marco Riani, Anthony C. Atkinson, Andrea Cerioli, and Aldo Corbellini. Efficient Robust Methods via Monitoring for Clustering andMultivariate Data Analysis. Pattern Recognition, 88:246—-260, 2019

Andrea Cerioli, Marco Riani, Anthony C. Atkinson, and Aldo Corbellini. Rejoinder to the discussion of “The power of monitoring: howto make the most of a contaminated multivariate sample”. Statistical Methods & Applications, pages 1–6, 2018

Marco Riani, Aldo Corbellini, and Anthony C. Atkinson. The Use of Prior Information in Very Robust Regression for Fraud Detection.International Statistical Review, pages 205–218, 2018

Andrea Cerioli, Marco Riani, Anthony C. Atkinson, and Corbellini Aldo. The power of monitoring: How to make the most of acontaminated multivariate sample. Statistical Methods & Applications, pages 1–29, 2018

Anthony C. Atkinson, Aldo Corbellini, and Marco Riani. Robust Bayesian regression with the forward search: theory and data analysis.TEST, 26:869–886, 2017

Aldo Corbellini, Marco Riani, and Anthony C. Atkinson. Hubert, Rousseeuw and Segaert: multivariate functional outlier detection.Statistical Methods & Applications, 24:257–261, 2015

Aldo Corbellini, Marco Riani, and Andrea Donatini. Multivariate Data Analysis Techniques to Detect Early Warnings of Elderly Frailty.Statistica Applicata, 20:159–178, 2008

Sergio Zani, Marco Riani, and Aldo Corbellini. New Methods for Ordering Multivariate Data: an Application to the Performance of Investment Funds. Applied Stochastic Model in Business and Industry, 15:485–493, 1999

Sergio Zani, Marco Riani, and Aldo Corbellini. Robust Bivariate Boxplots and Multiple Outlier Detec- tion. Computational Statistics and Data Analysis, 28:257–270, 1998

Anthony C. Atkinson, Marco Riani, and Aldo Corbellini. Robust response transformations for general- ized additive models via additivityand variance stabilisation. In Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Heidelberg, 2022

Aldo Corbellini, Marco Magnani, and Gianluca Morelli.  Robust analysis of the labor market.  In

Statistical Methods for Service Quality Evaluation. Pearson, Roma, 2020

Anthony C. Atkinson, Marco Riani, Aldo Corbellini, and Gianluca Morelli.  Ace, avas and robust data transformations: Performance of investment funds. In Studies in Classification, Data Analysis, and Knowledge Organization. Springer, 2020

Anthony C. Atkinson, Aldo Corbellini, and Marco Riani. Introducing Prior Information into the For- ward Search for Regression. In T.Di Battista, E. Moreno, and Racugno W., editors, Topics on Method- ological and Applied Statistical Inference. Studies in Theoretical andApplied Statistics, pages 1–8. Springer, Cham, 2016

Aldo Corbellini, Luigi Grossi, and Fabrizio Laurini. Robustness for multilevel models with the Forward Search. In COMPSTAT 2016, Proceedings, pages 13–23, 2016

Maurizio Baussola, Eleonora Bartoloni, and Aldo Corbellini. Business failure prediction in manufactur- ing: a robust bayesian approach to discriminant scoring. In M. Carpita, E. Brentari, and E.M. Qannari, editors, Advances in Latent Variables - Part of the series Studies inTheoretical and Applied Statistics, pages 277–285. Springer Verlag, 2014

Aldo Corbellini and Lisa Crosato. Robust Tests for Pareto Density Estimation. In B. Fichet, D. Piccolo,

R. Verde, and M. Vichi, editors, Classification and Multivariate Analysis for Complex Data Structures, pages

193–201. Springer, 2011

Aldo Corbellini, Lisa Crosato, Piero Ganugi, and Marco Mazzoli. Fitting pareto II distributions on firm size: Statistical methodology and economic puzzles. In Christos H. Skiadas, editor, Advances in Data Analysis, pages 101–104. Springer/Birkhauser, 2010

Aldo Corbellini and Kjell Konis. An R Package for the Forward Analysis of Multivariate Data. In

S. Zani, A. Cerioli, M. Riani, and M. Vichi, editors, Data Analysis, Classification and the Forward Search, pages 189–197. Springer, 2006

Fabrizio Laurini and Aldo Corbellini. The Forward Search for Generalized Extreme Value Distribu- tions. In Proceedings of the19th International Workshop on Statistical Modelling, pages 376–380. Springer, 2006

Andrea Cerioli, Fabrizio Laurini, and Aldo Corbellini. Functional Cluster Analysis of Financial Time Series. In M. Vichi, P. Monari, S. Mignani, and A. Montanari, editors, Studies in Classification, Data Analysis, and Knowledge Organization, pages 333–341. Springer-Verlag, 2005

Salvatore Ingrassia, Andrea Cerioli, and Aldo Corbellini. Some issues on Clustering of Functional Data. In M. Schader, M. Gaul, and M.Vichi, editors, Studies in Classification, Data Analysis and Knowledge Organization, pages 49–56. Springer Verlag: Berlin, 2003

Aldo Corbellini. Clockwise Bivariate Boxplot. In W. Hardle and B. Ronz, editors, 15th conference of Computational Statistics, Berlin, pages 231–236. Physica-Verlag: Berlin, 2002

Marco Riani, Sergio Zani, and Aldo Corbellini. Robust Bivariate Boxplots and Visualization of Multi- variate Data. In Balderjahn I., Mathar R., and Shader M., editors, Classification Data Analysis and Data Highways, volume 28, pages 93–100. Springer: Berlin, 1998

Marco Riani, Anthony C. Atkinson, Aldo Corbellini, Domenico Perrotta, and Valentin Todorov. Applied Robust Statistics through theMonitoring Approach, Applications in Regression. Springer Cham, UK, 2025

Books

Marco Riani, Aldo Corbellini, Fabrizio Laurini, Morelli Gianluca, Proietti Tommaso, Domenico Per- rotta, and Francesca Torti. DataScience con MATLAB. Giappichelli, IT, 2025

Andrea Cerioli, Maria Adele Milioli, Aldo Corbellini, and Gianluca Morelli. Un’introduzione elementare all’inferenza statistica per le discipline aziendali. UniNova, IT, 2022

Peer–reviewed Conference Proceedings with ISBN

Anthony C. Atkinson, Aldo Corbellini, and Marco Riani. Introducing Prior Information into the For- ward Search for Regression. In T.Di Battista, E. Moreno, and Racugno W., editors, Topics on Method- ological and Applied Statistical Inference. Studies in Theoretical andApplied Statistics, pages 1–8. Springer, Cham, 2016

Maurizio Baussola, Eleonora Bartoloni, and Aldo Corbellini. Business failure prediction in manufactur- ing: a robust bayesian approach to discriminant scoring. In M. Carpita, E. Brentari, and E.M. Qannari, editors, Advances in Latent Variables - Part of the series Studies inTheoretical and Applied Statistics, pages 277–285. Springer Verlag, 2014

Aldo Corbellini and Lisa Crosato. Robust Tests for Pareto Density Estimation. In B. Fichet, D. Piccolo,

R. Verde, and M. Vichi, editors, Classification and Multivariate Analysis for Complex Data Structures, pages

193–201. Springer, 2011 ok

Aldo Corbellini and Kjell Konis. An R Package for the Forward Analysis of Multivariate Data. In

S. Zani, A. Cerioli, M. Riani, and M. Vichi, editors, Data Analysis, Classification and the Forward Search, pages 189–197. Springer, 2006 ok

Fabrizio Laurini and Aldo Corbellini. The Forward Search for Generalized Extreme Value Distribu- tions. In Proceedings of the19th International Workshop on Statistical Modelling, pages 376–380. Springer, 2006 ok

Salvatore Ingrassia, Andrea Cerioli, and Aldo Corbellini. Some issues on Clustering of Functional Data. In M. Schader, M. Gaul, and M.Vichi, editors, Studies in Classification, Data Analysis and Knowledge Organization, pages 49–56. Springer Verlag: Berlin, 2003

Andrea Cerioli, Fabrizio Laurini, and Aldo Corbellini. Functional Cluster Analysis of Financial Time Series. In M. Vichi, P. Monari, S. Mignani, and A. Montanari, editors, Studies in Classification, Data Analysis, and Knowledge Organization, pages 333–341. Springer-Verlag, 2005

Aldo Corbellini. Clockwise Bivariate Boxplot. In W. Hardle and B. Ronz, editors, 15th conference of Computational Statistics, Berlin, pages 231–236. Physica-Verlag: Berlin, 2002

Marco Riani, Sergio Zani, and Aldo Corbellini. Robust Bivariate Boxplots and Visualization of Multi- variate Data. In Balderjahn I., Mathar R., and Shader M., editors, Classification Data Analysis and Data Highways, volume 28, pages 93–100. Springer: Berlin, 1998

2025 Invited session speaker at the conference “15-th Scientific Meeting Classification and Data Anal- ysis Group”, CLADAG 2025, University of Naples Federico II, Italy, with the talk: The use of Modern Robust Regression Analysis with Graphics: An Example fromMarketing.

2025 Invited session speaker at the conference “International Conference on Robust Statistics 2025”, ICORS2025, Stresa, (VA), Italy,with the talk: The Use of Modern Robust Regression Analysis with Graphics: An Example from Marketing.

2023 Invited session speaker at the conference “Statistical Methods For Evaluation And Quality: Tech- niques, Technologies and Trends”, IES2023, University G.d’Annunzio of Chieti-Pescara, Italy, with the talk: Robust diagnostics for Linear Mixed Models with theForward Search.

2023 Invited Session speaker at the conference: “CARME 2023 - Correspondence Analysis and Re- lated Methods”, University of Bonn, Germany, with the talk: Robust Correspondence Analysis and its applications.

2022 Invited Session at “SMPS 2022”, 10th International Conference on Soft Methods in Probability and Statistics, Valldolid,Spain, with the talk: Labour Market Analysis through Transformations and Robust Multilevel Models, 14–16 Sept. 2022.

2019 Invited Session at “CLADAG 2019”, Cassino, Italy, with the talk: Labour Market Analysis through Transformations and Robust Multilevel Models, 11–13 Sept. 2019.

2019 Invited Session at “IES 2019, Statistical evaluation systems at 360°: techniques, technologies and new frontiers”, Università Europea di Roma, Italy, with the talk: Robust analysis of the labor market, 4–5 July 2019.

2019 Invited Session at “Statistical Methods and Models for Complex Data”. Benevento, Italy with the talk: Robust Estimation of a Multivariate Model: a Forward Search Approach, 5–7 Jun 2019.

2018 contribution at “49th Scientific meeting of the Italian Statistical Society’, Palermo, Italy, with the talk: Robust statistical methodsfor credit risk. In Book of short Papers SIS 2018 - ISBN:9788891910233. pp 1055–1060, 20-22 Jun 2018.

2018 contribution at “S&DS 2018 Statistics and Data Science new Developments for Business and Industrial Applications”, Collegio Carlo Alberto, Torino, Italy, with the talk: SVM Robustification by Means of the Forward Search, 24–25 May 2018.

2018 Invited Session at “COMPSTAT 2018, The 23rd International Conference on Computational Statis- tics”, Iasi, Romania, with thetalk: The use of Prior Information in Very Robust Regression for the Monitoring of EU Sensitive Products, 28–31 Aug. 2018.

2018 contribution at 49th Scientific meeting of the Italian Statistical Society”, University of Palermo, Italy, with the talk: Robust statistical methods for credit risk, Jun. 20–22, 2018.

2018 Invited Session at “Mathworks Research Summit & Matlab Advisory Board”, Boston MA, USA, with the talk: A MATLAB toolbox for Robust Statistics: use in policy research, 2–8 Jun. 2018.

2017 Invited Session at “10th International Conference of the ERCIM WG on Computational and Methodological Statistics –CMStatistics 2017”, London, United Kingdom, with the talk: The power of monitoring: How to make the most of a contaminatedmultivariate sample,16-18 December 2017.

2014 Solicited Session at “47th Scientific Meeting of the Italian Statistical Society”, Cagliari, Italy with the talk: Introducing PriorInformation into the Forward Search for Regression, 11–13 Jun. 2014.