CLADAG PROGRAM October 9, 2015
08.45 – 10. 00 SPEC5 Multiway Analysis Cyprea Room
Chair: G. Bove – Discussant: F. Palumbo
(Interactive) visualisation of three-way data – C. Albers, J.C. Gower
Robust fuzzy clustering of multivariate time trajectories – R. Massari, P. D’Urso
Estimation procedures for avoiding degenerate solutions in CANDECOMP/PARAFAC – P. Giordani
08.45 – 10. 00 SPEC6 Big Data Analysis Nautilus Room
Chair: C. Loglisci – Discussant: P. Giudici
Big Data Value in Europe: Challenges and Opportunities – D. Malerba
Mining Big Data with high performance computing solutions – C. Sartori, S. Basta, F. Angiulli, S. Lodi, G. Moro
Enhancing Big Data exploration with faceted browsing – S. Bergamaschi, G. Simonini, S. Zhu
Towards a statistical framework for attribute comparison in very large relational databases – M. Roveri, C. Alippi, E. Quintarelli, L. Tanca
10.00 – 11. 00 SOL7 Time series in clustering II Cyprea Room
Chair: M. La Rocca
Parsimonious clustering of time series – A. D’Ambrosio, C. Iorio, G. Frasso, R. Siciliano
Dynamic Time Warping-based fuzzy clustering for spatial time series – R. Massari, P. D’Urso, M. Disegna
Periodical feature based time series clustering – L. Parrella, F. Giordano, M. La Rocca
10.00 – 11. 00 SOL8 Big Data Analysis Nautilus Room
Chair: D. Malerba
Interactive Machine Learning with R – G. Di Nunzio
Workload estimation for a call center – P. Riva, R. Scommegna
Prediction in Olive Oil Market using Regression Models on Temporal Data Network – C. Loglisci, U. Medicamento, A. Casieri
10.00 – 11. 00 CONTR7 Dimension reduction methods Astrea Room
Chair: M. Vichi
Principal component analysis of complex data and application to climatology – S. Creta, S. Camiz
Sparse exploratory multidimensional IRT models – S. Fontanella, L. Fontanella, P. Valentini, N. Trendafilov
Iterative factor clustering for categorical data reconsidered – F. Palumbo, A. Iodice D’Enza, A. Markos
10.00 – 11. 00 CONTR8 Robustness and data diagnostics II Alvania Room
Chair: M. Riani
Testing antipodal symmetry of circular data – G. Casale, G. Pandolfo, G.C. Porzio
How to define deviance residuals in multinomial regression – G. Romeo, M. Sciandra, M. Chiodi
Diagnostic tools for GAMLSS fitted objects – A. Marletta, M. Sciandra
11.00 – 11. 30 COFFEE BREAK
11.30 – 12. 20 KEY2 KEYNOTE2 – Chair: P. Giudici Nautilus Room
Variable selection for model-based clustering of categorical data B. Murphy
12.20 – 13. 20 SOL9 Advances in Ordinal and Preference Data Nautilus Room
Chair: A. D’Ambrosio
Measuring consensus in the setting of non-uniform qualitative scales – J.L. Garcìa-Lapresta, D. Pérez-Román
Accurate Algorithms for Consensus Ranking Detection- G. Mazzeo, A. D’Ambrosio, R. Sicialiano
Logistic Regression Trees for Ordinal and Preference Data – T. Rusch, A. Zeileis, K. Hornnik
12.30 – 13. 20 SOL10 Case studies in data science from Ligurian companies Cyprea Room
Chair: D. Panaro
Statistical methods for the analysis of Ostreopsis ovata bloom events from meteo-marine data – E. Ottaviani, V. Asnaghi, M. Chiantore, A. Pedroncini, R. Bertolotto
Data mining for optimal gambling – F. Malfanti, G. Torre
A fraud detection algorithm for online banking – E. Riccomagno, D. Panaro, F. Malfanti
Does directors’ background matter? Firm value and board features – D. Panaro, S. Ferramosca, S. Trucco
12.30 – 13. 20 CONTR9 Bayesian Data Analysis Astrea Room
Chair: S. Tonellato
Bayesian Inference with linked data – B. Liseo, R. Sterols, A. Tancredi
A semi-parametric Fay-Herriot-type model with unknown sampling variances – S. Polettini
On Robust Posterior Distributions via Optimally B-Robust estimating functions and Approximate Bayesian Computation – I.L. Danesi, F. Piacenza, E. Ruli, L. Ventura
12.30 – 13. 20 CONTR10 Network data and multilevel models Alvania Room
Chair: G. Ragozini
MCA based community detection – C. Drago
Classifying sociometric roles by Network Analysis – V. Tomaselli, S. Gozzo
A multilevel Heckman model to investigate financial assets among old people in Europe – O. Paccagnella
13.20 – 14. 50 LUNCH
14.50 – 15. 50 SOL11 Modeling ordinal data Nautilus Room
Chair: M. Carpita
Posterior predictive model checks for assessing the goodness of fit of Bayesian multidimensional IRT models – S. Mignani, M. Matteucci
International tourism in Italy: a Bayesian Network approach – G. Perucca, F. Cugnata
Clustering upper level units in multilevel models for ordinal data – C. Rampichini, L. Grilli, A. Panzera
14.50 – 15. 50 SOL12 Functional data analysis for environmental data Cyprea Room
Chair: T. Di Battista
Clustering spatially dependent functional data: a method based on the concept of spatial dispersion function of a curve – A. Balzanella, E. Romano, R. Verde
Two case studies on object oriented spatial statistics – P. Secchi
Inference on functional biodiversity tools – F. Fortuna, T. Di Battista, F. Maturo
14.50 – 15. 50 CONTR11 Nonparametric and semiparamteric regression Astrea Room
Chair: B. Liseo
Optimal pricing using bayesian semiparametric price response models – W.J. Steiner, A. Weber, S. Lang, P. Wechselberger
Monetary transmission models for banking interest rates – L. Parisi, P. Giudici, I. Gianfrancesco, C. Gilberto
Estimating the effect of prenatal care on birth outcomes – E. Sironi, M. Cannas
14.50 – 15. 50 CONTR12 Similarities and dissimilarities Alvania Room
Chair: R. Siciliano
Recursive partitioning: an approach based on the weighted Kenemy distance – M. Sciandra, V. Picone, A. Plaia
Why to study abroad? an example of clustering – V. Caviezel, A.M. Falzoni
Graphical copula-based tool for detecting tail dependence – R. Pappadà, F. Durante, N. Torelli
15.50 – 17. 05 SPEC7 New Methodogogies for Composite Indicators Nautilus Room
Chair: M. Carpita – Discussant: M. Carpita
Advances in Composite-based Path Modeling for Synthetic Indicators – V. Esposito Vinzi, L. Trinchera, G. Russolillo
Composite Indicators Modeling – M. Vichi, F. Mealli, T. Van der Weele
Measuring the importance of variables in composite indicators- W. Becker, M. Saisana, P. Paruolo, A. Saltelli
15.50 – 17. 05 SPEC8 Cluster analysis software and validation Cyprea Room
Chair: C. Hennig – Discussant: C. Hennig
Adaptive choice of input parameters in robust clustering – L.A. Garcìa-Escudero, A. Mayo-Iscar
Robust model-based clustering with covariance matrix constraints – P. Coretto, C. Hennig
Flexible Implementation of Resampling Schemes for Cluster Validation – F. Leisch
17.05 – 17. 35 COFFEE BREAK
17.35 – 18. 35 SOL13 Advances in quantile regression Nautilus Room
Chair: C. Davino
M-quantile regression: diagnostics and parametric representation of the model – A. Binachi, E. Fabrizi, N. Salvati, N. Tzavidis
Quantile Regression: A Bayesian Robust Approach – M. Bottone, L. Petrella, M. Bernardi
A comparison of quantile and m-quantile estimators for linear regression methods – D. Vistocco, M. Furno
Handling heterogeneity among units in Quantile Regression Application – C. Davino, D. Vistocco
17.35 – 18. 35 SOL14 Directional Data Cyprea Room
Chair: G.C. Porzio
Small biased circular density estimation – M. Di Marzio, S. Fensore, A. Panzera, C.C. Taylor
A depth-based classifier for circular data – G. Pandolfo
Nonparametric estimates of the mode for directional data – G.C. Porzio, T. Kirschstein, S. Liebscher, G. Ragozini
17.35 – 18. 35 CONTR13 Data Science Astrea Room
Chair: M. Cannas
Classification models as tools of bankruptcy prediction – Polish experience – J. Pociecha, B. Pawełek, M. Baryła, S. Augustyn
The relationship between individual price response of beer consumers and their demographic/psychographic characteristics – F. Paetz
The ensemble conceptual clustering of symbolic data for customer loyalty analysis – M. Pelka
Consumers’ perceptions of corporate social responsibilities and willingness to pay: a Partial Least Squares approach – K. Luebke, C. Hose, T. Obermeier
17.35 – 18. 35 CONTR6 Multilevel and network data analysis Alvania Room
Chair: P. Giudici
Inspecting the quality of italian wine through causal reasoning – S. Golia, E. Brentari, M. Carpita
Exploring socio-economic factors associated with adherence to the mediterranean diet: a multilevel approach – L. Secondi, T. Laureti
Big Data and “Social” reputation: a financial example – P. Cerchiello
18.35 – 19. 35 CLADAG Assembly Nautilus Room
20.15 – 23. 00 Conference Dinner