Workshops
- 2014. 7 February, University of Naples Federico II: Definition of robustness issues for ordinal data modelling (participants: A.C. Monti, D. Piccolo, S. Capecchi,)
- 2014. 12 February, University of Naples Federico II: Discussion and selection of possible case studies for the application of ordinal data modelling to psychological data, with special reference to stress analysis of teachers (participants: M. Zurlo, D. Piccolo, S. Capecchi)
- 2014. 28 February, University of Modena: Workshop on the Quality of Work and related methodological issues for measuring and comparing job satisfaction in different contexts, (participants: S. Capecchi, D. Piccolo)
- 2014. 20-21 March, University of Naples Federico II: Workshop on the implication of a sequential choice approach in the standard and innovative methods for modelling ordinal data: discussion of methods and selection of adequate real data sets (participants: S. Giordano, S. Capecchi, D. Piccolo)
- 2014. 10-12 March, Ludwig Maximilian University of Munich: Two-days workshop focused on the generalization of cumulative models by the inclusion of an uncertainty components: methodological problems, computational issues and empirical evidence on some real data sets (participants: G.Tutz, D. Piccolo)
- 2014. 26 February, University of Brescia: Meeting on the different approaches to modelling data analysis with special reference to methodological issues (participants: P. Zuccolotto, M. Manisera, F. Pennoni, S. Capecchi, D. Piccolo)
- 2014. 20-21 October Brescia, University of Brescia – Download Event’s File – Workshop SUNOVA & SHAPE 2014
– (G.Tutz, Modelling categorical data: alternative modelling strategies and regularization methods, keynote speaker)
– A comprehensive approach to ordinal data modelling (M. Iannario, D. Piccolo)
– Perception analysis with nonlinear CUB models (M. Manisera, P. Zuccolotto)
– The Sarmanov CUB Model (R. Colombi, S. Giordano)
– An Overview of the Latent Markov Models (F. Pennoni)
– Modelling approaches to analyse the perception of working conditions (S. Capecchi, M. Kankaras)
– Clustering ranking data in market amnalysis (E. Brentari, L. Dancelli, M. Manisera, M. Vezzoli)
Seminars and Conferences
2014. M. Manisera, P. Zuccolotto: “Nonlinear CUB models”, Università di Brescia, Brescia, January 9
2014. D. Piccolo: “Methods and models to measure happiness (in Italian), Laboratorio federiciano della felicità, Università degli Studi di Napoli Federico II, Napoli, 23 January
2014. D. Piccolo: “CUB models and related issues: a framework for the analysis of ordinal data”, Dipartimento di Gestione dei Sistemi Agrari, Alimentari e Forestali. Firenze, 27 January
2014. D. Piccolo: “A statistical approach for evaluating risk perception: CUB models for the analysis of ordinal data”, CONSOB, Commissione Nazionale per le Società e la Borsa, Roma, 28 January
2014. S. Capecchi, D. Piccolo: “Una modellistica per la misura della Qualità del Lavoro”, Dipartimento di Economia Marco Biagi, Università degli Studi di Modena e Reggio Emilia, 28 February
2014. D. Piccolo “CUB models for the analysis of ordinal data: statistical issues and empirical evidence”, Dipartimento di Tecnica e Gestione dei Sistemi Industriali, Università di Padova, 10 April
2014. S. Capecchi, D. Piccolo: “Modelling the Latent Components of Personal Happiness”, Sixth International Conference on MAF-2014, Vietri sul Mare, University of Salerno, 23 April
2014. S. Capecchi. Seminar: “Modelling Job Satisfaction of Italian Graduates, Eurofound, European Foundation for the Improvement of Living and Working Conditions”, Dublin, Ireland. June 27
2014. D. Piccolo. Seminar: “Un modello statistico di percezione per variabili latenti connesse al mondo del lavoro” (A statistical approach for latent variables related to job market), Sviluppo, Lavoro e Istituzioni Seminars (Development, Job and Institutions Seminars). Department of Political Sciences, University of Naples Federico II, Naples, Italy November 27-28.
2014. S. Capecchi. Seminar: “La percezione delle condizioni lavorative: un approccio modellistico” (Working conditions’ perception: a modelling approach), Sviluppo, Lavoro e Istituzioni Seminars (Development, Job and Institutions Seminars). Department of Political Sciences, University of Naples Federico II, Naples, Italy November 27-28.
2014. S. Capecchi and D. Piccolo. Seminar: “Nuovi sviluppi nella modellistica per dati ordinali: proposte metodologiche e verifiche empiriche” (New developments in ordinal data modelling: methods and empirical results), University of Calabria (CS, Italy), September 17.
2014. S. Capecchi, M. Iannario and D. Piccolo. Seminar: “Confronto della job satisfaction tra i laureati pre- e post- riforma nelle indagini AlmaLaurea” (A comparison in analyzing job satifaction of Italian graduates in AlmaLaurea surveys), AlmaLaurea Inter-University Consortium, Bologna July 8.
2014. S. Giordano A multivariate CUB model. ERCIM, Università di Pisa, Pisa, December 6-8
2014. M. Iannario “A unified proposal for modelling ordinal data” ERCIM, Università di Pisa, Pisa, December 6-8
2014. M. Iannario, D. Piccolo. “A new paradigm for modelling ordinal responses in sample surveys”. La Sapienza, University of Rome, November 25
2014. B. Francis, F. Pennoni, S. Pandolfi, F. Bartolucci. “Robust latent class analysis through outlier detection and modelling”. Università di Pisa, Pisa, December 6-8
2014. M. Manisera, P. Zuccolotto. “New perspectives on rating data modelling: the Nonlinear CUB”. 29th International Workshop on Statistical Modelling (IWSM), Göttingen, July 14-18
2014. M. Manisera, P. Zuccolotto. “Modelling ‘don’t know’ responses in rating scales”. 7th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2014) (invited talk in the Organized session “Advances in ordinal and preference data”), University of Pisa, Italy, 6-8 December 2014
2014. M. Manisera, P. Zuccolotto. “Measuring perceived risk in fraud management using Nonlinear CUB models”. 8th International Conference on Computational and Financial Econometrics (CFE 2014) (invited talk in the Organized Session “A novel perspective in predictive modelling for risk analysis”) University of Pisa, Italy, 6-8 December 2014
2015. A.C. Monti. “Robustness in the context of ordinal response model.” Waseda University–Tokyo. Japan. January 28
