{"id":716,"date":"2015-10-08T00:49:22","date_gmt":"2015-10-07T22:49:22","guid":{"rendered":"http:\/\/convegni.unica.it\/cladag2015\/?page_id=716"},"modified":"2015-12-23T08:15:44","modified_gmt":"2015-12-23T07:15:44","slug":"program09102015","status":"publish","type":"page","link":"https:\/\/convegni.unica.it\/cladag2015\/program09102015\/","title":{"rendered":"Program09102015"},"content":{"rendered":"

CLADAG PROGRAM October 9, 2015<\/p>\n

 <\/p>\n

08.45 – 10. 00\u00a0\u00a0 SPEC5 Multiway Analysis\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Cyprea Room<\/p>\n

Chair: G. Bove – Discussant: F. Palumbo<\/p>\n

(Interactive) visualisation of three-way data – C. Albers, J.C. Gower<\/p>\n

Robust fuzzy clustering of multivariate time trajectories – R. Massari, P. D’Urso<\/p>\n

Estimation procedures for avoiding degenerate solutions in CANDECOMP\/PARAFAC – P. Giordani<\/p>\n

 <\/p>\n

08.45 – 10. 00\u00a0\u00a0 SPEC6 Big Data Analysis\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Nautilus Room<\/p>\n

Chair: C. Loglisci – Discussant: P. Giudici<\/p>\n

Big Data Value in Europe: Challenges and Opportunities – D. Malerba<\/p>\n

Mining Big Data with high performance computing solutions – C. Sartori, S. Basta, F. Angiulli, S. Lodi, G. Moro<\/p>\n

Enhancing Big Data exploration with faceted browsing – S. Bergamaschi, G. Simonini, S. Zhu<\/p>\n

Towards a statistical framework for attribute comparison in very large relational databases – M. Roveri, C. Alippi, E. Quintarelli, L. Tanca<\/p>\n

 <\/p>\n

10.00 – 11. 00\u00a0\u00a0 SOL7 Time series in clustering II\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Cyprea Room<\/p>\n

Chair: M. La Rocca<\/p>\n

Parsimonious clustering of time series – A. D’Ambrosio, C. Iorio, G. Frasso, R. Siciliano<\/p>\n

Dynamic Time Warping-based fuzzy clustering for spatial time series – R. Massari, P. D’Urso, M. Disegna<\/p>\n

Periodical feature based time series clustering – L. Parrella, F. Giordano, M. La Rocca<\/p>\n

 <\/p>\n

10.00 – 11. 00\u00a0\u00a0 SOL8 Big Data Analysis\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0Nautilus Room<\/p>\n

Chair: D. Malerba<\/p>\n

Interactive Machine Learning with R – G. Di Nunzio<\/p>\n

Workload estimation for a call center – P. Riva, R. Scommegna<\/p>\n

Prediction in Olive Oil Market using Regression Models on Temporal Data Network – C. Loglisci, U. Medicamento, A. Casieri<\/p>\n

 <\/p>\n

10.00 – 11. 00\u00a0\u00a0 CONTR7 Dimension reduction methods\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Astrea Room<\/p>\n

Chair: M. Vichi<\/p>\n

Principal component analysis of complex data and application to climatology – S. Creta, S. Camiz<\/p>\n

Sparse exploratory multidimensional IRT models – S. Fontanella, L. Fontanella, P. Valentini, N. Trendafilov<\/p>\n

Iterative factor clustering for categorical data reconsidered – F. Palumbo, A. Iodice D’Enza, A. Markos<\/p>\n

 <\/p>\n

10.00 – 11. 00\u00a0\u00a0 CONTR8 Robustness and data diagnostics II\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Alvania Room<\/p>\n

Chair: M. Riani<\/p>\n

Testing antipodal symmetry of circular data – G. Casale, G. Pandolfo, G.C. Porzio<\/p>\n

How to define deviance residuals in multinomial regression – G. Romeo, M. Sciandra, M. Chiodi<\/p>\n

Diagnostic tools for GAMLSS fitted objects – A. Marletta, M. Sciandra<\/p>\n

 <\/p>\n

11.00 – 11. 30\u00a0\u00a0 COFFEE BREAK<\/p>\n

 <\/p>\n

11.30 – 12. 20\u00a0\u00a0 KEY2\u00a0\u00a0 KEYNOTE2 – Chair: P. Giudici\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Nautilus Room<\/p>\n

Variable selection for model-based clustering of categorical data\u00a0\u00a0 B. Murphy<\/p>\n

 <\/p>\n

12.20 – 13. 20\u00a0\u00a0 SOL9 Advances in Ordinal and Preference Data\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Nautilus Room<\/p>\n

Chair: A. D’Ambrosio<\/p>\n

Measuring consensus in the setting of non-uniform qualitative scales – J.L. Garc\u00eca-Lapresta, D. P\u00e9rez-Rom\u00e1n<\/p>\n

Accurate Algorithms for Consensus Ranking Detection- G. Mazzeo, A. D’Ambrosio, R. Sicialiano<\/p>\n

Logistic Regression Trees for Ordinal and Preference Data – T. Rusch, A. Zeileis, K. Hornnik<\/p>\n

 <\/p>\n

12.30 – 13. 20\u00a0\u00a0 SOL10 Case studies in data science from Ligurian companies\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Cyprea Room<\/p>\n

Chair: D. Panaro<\/p>\n

Statistical methods for the analysis of Ostreopsis ovata bloom events from meteo-marine data – E. Ottaviani, V. Asnaghi, M. Chiantore, A. Pedroncini, R. Bertolotto<\/p>\n

Data mining for optimal gambling – F. Malfanti, G. Torre<\/p>\n

A fraud detection algorithm for online banking – E. Riccomagno, D. Panaro, F. Malfanti<\/p>\n

Does directors\u2019 background matter? Firm value and board features – D. Panaro, S. Ferramosca, S. Trucco<\/p>\n

 <\/p>\n

12.30 – 13. 20\u00a0\u00a0 CONTR9 Bayesian Data Analysis\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Astrea Room<\/p>\n

Chair: S. Tonellato<\/p>\n

Bayesian Inference with linked data – B. Liseo, R. Sterols, A. Tancredi<\/p>\n

A semi-parametric Fay-Herriot-type model with unknown sampling variances – S. Polettini<\/p>\n

On Robust Posterior Distributions via Optimally B-Robust estimating functions and Approximate Bayesian Computation – I.L. Danesi, F. Piacenza, E. Ruli, L. Ventura<\/p>\n

 <\/p>\n

12.30 – 13. 20\u00a0\u00a0 CONTR10 Network data and multilevel models\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Alvania Room<\/p>\n

Chair: G. Ragozini<\/p>\n

MCA based community detection – C. Drago<\/p>\n

Classifying sociometric roles by Network Analysis – V. Tomaselli, S. Gozzo<\/p>\n

A multilevel Heckman model to investigate financial assets among old people in Europe – O. Paccagnella<\/p>\n

 <\/p>\n

13.20 – 14. 50\u00a0\u00a0 LUNCH<\/p>\n

 <\/p>\n

14.50 – 15. 50\u00a0\u00a0 SOL11 Modeling ordinal data\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0Nautilus Room<\/p>\n

Chair: M. Carpita<\/p>\n

Posterior predictive model checks for assessing the goodness of fit of Bayesian multidimensional IRT models – S. Mignani, M. Matteucci<\/p>\n

International tourism in Italy: a Bayesian Network approach – G. Perucca, F. Cugnata<\/p>\n

Clustering upper level units in multilevel models for ordinal data – C. Rampichini, L. Grilli, A. Panzera<\/p>\n

 <\/p>\n

14.50 – 15. 50\u00a0\u00a0 SOL12 Functional data analysis for environmental data\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Cyprea Room<\/p>\n

Chair: T. Di Battista<\/p>\n

Clustering spatially dependent functional data: a method based on the concept of spatial dispersion function of a curve – A. Balzanella, E. Romano, R. Verde<\/p>\n

Two case studies on object oriented spatial statistics – P. Secchi<\/p>\n

Inference on functional biodiversity tools – F. Fortuna, T. Di Battista, F. Maturo<\/p>\n

 <\/p>\n

14.50 – 15. 50\u00a0\u00a0 CONTR11 Nonparametric and semiparamteric regression\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Astrea Room<\/p>\n

Chair: B. Liseo<\/p>\n

Optimal pricing using bayesian semiparametric price response models – W.J. Steiner, A. Weber, S. Lang, P. Wechselberger<\/p>\n

Monetary transmission models for banking interest rates – L. Parisi, P. Giudici, I. Gianfrancesco, C. Gilberto<\/p>\n

Estimating the effect of prenatal care on birth outcomes – E. Sironi, M. Cannas<\/p>\n

 <\/p>\n

14.50 – 15. 50 CONTR12 Similarities and dissimilarities\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Alvania Room<\/p>\n

Chair: R. Siciliano<\/p>\n

Recursive partitioning: an approach based on the weighted Kenemy distance – M. Sciandra, V. Picone, A. Plaia<\/p>\n

Why to study abroad? an example of clustering – V. Caviezel, A.M. Falzoni<\/p>\n

Graphical copula-based tool for detecting tail dependence – R. Pappad\u00e0, F. Durante, N. Torelli<\/p>\n

 <\/p>\n

15.50 – 17. 05\u00a0\u00a0 SPEC7 New Methodogogies for Composite Indicators\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Nautilus Room<\/p>\n

Chair: M. Carpita – Discussant: M. Carpita<\/p>\n

Advances in Composite-based Path Modeling for Synthetic Indicators – V. Esposito Vinzi, L. Trinchera, G. Russolillo<\/p>\n

Composite Indicators Modeling – M. Vichi, F. Mealli, T. Van der Weele<\/p>\n

Measuring the importance of variables in composite indicators- W. Becker, M. Saisana, P. Paruolo, A. Saltelli<\/p>\n

 <\/p>\n

15.50 – 17. 05\u00a0\u00a0 SPEC8 Cluster analysis software and validation\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Cyprea Room<\/p>\n

Chair: C. Hennig – Discussant: C. Hennig<\/p>\n

Adaptive choice of input parameters in robust clustering – L.A. Garc\u00eca-Escudero, A. Mayo-Iscar<\/p>\n

Robust model-based clustering with covariance matrix constraints – P. Coretto, C. Hennig<\/p>\n

Flexible Implementation of Resampling Schemes for Cluster Validation – F. Leisch<\/p>\n

 <\/p>\n

17.05 – 17. 35\u00a0\u00a0 COFFEE BREAK<\/p>\n

 <\/p>\n

17.35 – 18. 35\u00a0\u00a0 SOL13 Advances in quantile regression\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Nautilus Room<\/p>\n

Chair: C. Davino<\/p>\n

M-quantile regression: diagnostics and parametric representation of the model – A. Binachi, E. Fabrizi, N. Salvati, N. Tzavidis<\/p>\n

Quantile Regression: A Bayesian Robust Approach – M. Bottone, L. Petrella, M. Bernardi<\/p>\n

A comparison of quantile and m-quantile estimators for linear regression methods – D. Vistocco, M. Furno<\/p>\n

Handling heterogeneity among units in Quantile Regression Application – C. Davino, D. Vistocco<\/p>\n

 <\/p>\n

17.35 – 18. 35\u00a0\u00a0 SOL14 Directional Data\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Cyprea Room<\/p>\n

Chair: G.C. Porzio<\/p>\n

Small biased circular density estimation – M. Di Marzio, S. Fensore, A. Panzera, C.C. Taylor<\/p>\n

A depth-based classifier for circular data – G. Pandolfo<\/p>\n

Nonparametric estimates of the mode for directional data – G.C. Porzio, T. Kirschstein, S. Liebscher, G. Ragozini<\/p>\n

 <\/p>\n

17.35 – 18. 35\u00a0\u00a0 CONTR13 Data Science\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Astrea Room<\/p>\n

Chair: M. Cannas<\/p>\n

Classification models as tools of bankruptcy prediction \u2013 Polish experience – J. Pociecha, B. Pawe\u0142ek, M. Bary\u0142a, S. Augustyn<\/p>\n

The relationship between individual price response of beer consumers and their demographic\/psychographic characteristics – F. Paetz<\/p>\n

The ensemble conceptual clustering of symbolic data for customer loyalty analysis – M. Pelka<\/p>\n

Consumers\u2019 perceptions of corporate social responsibilities and willingness to pay: a Partial Least Squares approach – K. Luebke, C. Hose, T. Obermeier<\/p>\n

 <\/p>\n

17.35 – 18. 35\u00a0\u00a0 CONTR6 Multilevel and network data analysis\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Alvania Room<\/p>\n

Chair: P. Giudici<\/p>\n

Inspecting the quality of italian wine through causal reasoning – S. Golia, E. Brentari, M. Carpita<\/p>\n

Exploring socio-economic factors associated with adherence to the mediterranean diet: a multilevel approach – L. Secondi, T. Laureti<\/p>\n

Big Data and \u201cSocial\u201d reputation: a financial example – P. Cerchiello<\/p>\n

 <\/p>\n

18.35 – 19. 35\u00a0\u00a0 CLADAG Assembly\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Nautilus Room<\/p>\n

 <\/p>\n

20.15 – 23. 00\u00a0\u00a0 Conference Dinner<\/p>\n

<\/h2>\n","protected":false},"excerpt":{"rendered":"

CLADAG PROGRAM October 9, 2015   08.45 – 10. 00\u00a0\u00a0 SPEC5 Multiway Analysis\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 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 […]<\/a><\/p>\n","protected":false},"author":1858,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-716","page","type-page","status-publish","hentry","post-seq-1","post-parity-odd","meta-position-corners","fix"],"_links":{"self":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages\/716","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/users\/1858"}],"replies":[{"embeddable":true,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/comments?post=716"}],"version-history":[{"count":9,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages\/716\/revisions"}],"predecessor-version":[{"id":1092,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages\/716\/revisions\/1092"}],"wp:attachment":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/media?parent=716"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}