Edizioni dell’Università degli Studi di Pavia
€ 9,80
Texts published by Pavia University Press in the series “Editoria scientifica” have been peer-reviewed prior to acceptance by the Editorial Board. www.paviauniversitypress.it/scientifica
CLADAG promotes advanced methodological research in multivariate statistics with a special interest in Data Analysis and Classification. It supports the interchange of ideas in these fields of research, including the dissemination of concepts, numerical methods, algorithms, computational and applied results.
CLADAG is a member of the International Federation of Classification Societies (IFCS).
Among its activities, CLADAG organizes a biennial international scientific meeting, schools related to classification and data analysis, publishes a newsletter and cooperates with other member societies of the IFCS in the organization of their conferences.
The scientific program of the meeting covered the following topics:
Classification theory Multivariate data analysis Proximity structure analysis Software developments
Applied classification and data analysis
Previous CLADAG meetings were held in Pescara (1997), Roma (1999), Palermo (2001), Bologna (2003), Parma (2005), Macerata (2007) and Catania (2009).
The 8th Biennial International Meeting of the CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society was hosted by the University of Pavia within the celebration of its 650th anniversary, from September 7th to September 9th, 2011.
The present book contains the abstract of the papers presented during the meeting. The four pages version of the papers is contained in the USB pen, with an ISBN code as well.
All papers were reviewed.
P a v i a U n i v e r s i t y P r e s s
Book of Abstracts
8
thScientific Meeting
of the CLAssification and Data Analysis Group of the Italian Statistical Society
University of Pavia, September 7-9, 2011
Edited by
Paola Cerchiello – Claudia Tarantola
CLADAG 2011
CLAssification and Data Analysis Group of the Italian Statistical Society
CLADAG 2011 Book of Abstracts
8
thScientific Meeting
University of Pavia, September 7-9, 2011
Edited by
Paola Cerchiello – Claudia Tarantola
Società italiana di statistica : Gruppo di classificazione e analisi dei dati Cladag 2011 : book of abstracts : 8th scientific meeting : University of Pavia, September 7-9, 2011 / edited by Paola Cerchiello, Claudia Tarantola. - Pavia : Pavia University Press, 2011. - VIII, 56 p. ; 24 cm.
In testa al front.: Cladag 2011, [Università degli Studi di Pavia], Classification and data analysis group of the Italian statistical society, Società italiana di statistica, AIFIRM.
ISBN 9788896764220
I. CLADAG II. Cerchiello, Paola III. Tarantola, Claudia 1. Analisi Multivariata - Statistica - Congressi - Pavia - 2011
519.535 CDD-22 - Analisi dei dati. Analisi multivariata
© Paola Cerchiello \ Claudia Tarantola, 2011 \ Pavia ISBN: 978-88-96764-22-0
Texts published by Pavia University Press in the series ^Editoria scientifica` have been peer-reviewed prior to acceptance by the Editorial Board.
No part of this book may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without written permission from the editors.
Editore / Publisher: Pavia University Press Edizioni dellbUniversità degli Studi di Pavia Via Ferrata, 1 \ 27100 Pavia \ Italia
<http://www.paviauniversitypress.it>
Stampato da / Printed by: Print Service \ Strada Nuova, 67 \ 27100 Pavia \ Italia
Table of Contents
CLADAG 2011 4 Program Schedule... IV Presentation ...VII Committees ... VIII Abstracts (in alphabetical order by author)... 1
Cladag2011ProgramSchedule 09:0009:30 09:3010:20 10:2010:50 IhLibldllifdliQliidfdiWednesday, September 7, 2011 OpeningCeremony(AulaMagna):A.Stella(RectoroftheUniversityofPavia);A.Cattaneo(MayorofPavia);S.Ingrassia(SCPresident);P.Giudici(OCPresident) KeynoteLectureM.Titterington:"Areviewofsomehybridgenerativediscriminativemethods"(Chair:A.Cerioli,AulaMagna) CoffeeBreak 10:5011:10 11:1011:30T.DiBattista,S.DiZio,C.Ceccatelli,R.Marianacci 11:3011:50 Itemresponsetheory Chair:T.DiBattista(RoomFoscolo) M.Matteucci,S.Mignani,B.Veldkamp
L.BertoliBarsotti,A.Punzo
Latentvariablemodel,causalinferenceandevaluation Chair:I.Morlini(RoomScarpa) A.Forcina,S.Modica L.GrilliR.Varriale T.Agasisti,F.Pennoni,G.Vittadini
SolicitedSessionQualityindexesforsensoryandconsumerscience Chair:S.Salini(RoomVolta) E.Brentari,P.Zuccolotto E.Brentari,R.Levaggi P.Amenta,R.Lombardo 11:5512:15 12:1512:35A.Gordaliza,C.Ruwet,L.A.GarcíaEscuder,A.MayoIscaD.Perrotta,A.Cerioli,F.Torti AdvancesinBayesianstructurallearningfordata analysis Chair:O.Papaspiliopoulos(RoomFoscolo)
RobustClusteringAdvancesinMeasurementErrorModelsandMethods M.Battauz,R.Bellio A.Sarra,L.Fontanella,T.DiBattista,R.DiNisio
Specialized Session Chair:M.Carpita(RoomVolta)Chair:G.Consonni(RoomScarpa) L.LaRocca D.Rossell,D.Telesca,V.E.Johnson12:1512:35 12:3512:55 12:5513:10 13:1014:10 ClassificationandClustering(1)
,,,y Contributed SessionMultivariateDataAnalysis
P.Lovaglio,G.Vittadini,,, LunchDiscussant:G.ConsonniDiscussant:M.Carpita
,, R.Silva DataAnalysisinEnvironmentalSciences
Discussant:M.Riani DataAnalysisinEconomicandFinance (1)
M.Bini,M.Velucchi 14.1014:25 14:2514.40 14:4014:55R.O'Reilly,S.Wilson,C.Carlow,P.McNich 14:5515:10 15101525I.Vrbik,P.McNicholas
Chair:P.Amenta(RoomMagna) AMAPRWiklFKlRK
Session Chair:M.D'Esposito(RoomVolta) H.Hruschka
R.Bellio,N.Soriani L.Cutillo,I.DeFeis,C.Nikolaidou,T.Sapat G.Fonseca,F.Giummolè,P.Vidoni RStkiKBShbh L.Bagnato,F.Greselin I.Morlini,S.ZaniT.Bellini L.DallaValle,M.E.DeGiuli,C.Manelli,C.T P.Dellaportas,L.Bottolo G.Schoier,F.MarsichM.Tsuji,K.Horinouchi,Y.Izumoto,T.Shi E.Nissi,A.RapposelliChair:G.Diana(RoomFoscolo) R.Rotondi,E.Varini,G.Zonno
Chair:G.Vittadini(RoomScarpa) 15:1015:25 15:3015:50 15:5016:10N.Greffard,F.Picarougne
WebminingandWebsurveys Chair:S.Biffignandi(RoomFoscolo)
A.Mazza,A.PunzoR.Winkler,F.Klawonn,R.Kruse J.Bethlehem ABianchiSBiffignandi Newtrendsinincrementalandsemisupervised classification:theoreticalissuesandapplications RLefortRFabletJMBoucher
Chair:P.Kuntz(RoomVolta)
Specialized Session Chair:G.Boari(RoomScarpa) L.Cappellari Scalingproceduresforordinaldataandopenissuesin themeasurementoflatentvariables
R.Stecking,K.B.Schebesch AZanellaGBoariABonanomiGCantaluppi15:5016:10 16:1016:30 16:3016:45 14:4517:10
A.Bianchi,S.Biffignandi E.LorenziniC.Salperwyck,V.Lemaire Discussant:P.Kuntz
R.Lefort,R.Fablet,J.M.Boucher SolicitedSession
B.ZumboA.Zanella,G.Boari,A.Bonanomi,G.Cantaluppi Discussant:S.Biffignandi Multivariatestatistics
Discussant:G.Boari CoffeeBreak EvaluationofAcademicResearchPerformance: MeasurementanddataanalysisClusteringofmultivariatefunctionaldata:techniques andapplications 17:1017:30 17:3017:50 17:5018:10 18:1519:30A.Okada,H.Tsurumi
SolicitedSession A.Guglielmi,F.Leva,A.M.Paganoni,F.Ruggeri,J.SorianoM.Chiodi,G.Adelfio,A.D'Alessandro,D.LuzioF.DeBattisti,S.Salini A.Costantini,M.Franceschet E.Romano,A.BalzanellaG.Calò,A.MontanariChair:R.Rocci(RoomFoscolo) M.Alfò,I.Rocchetti CLADAGAssembly(AulaFoscolo) Measurementanddataanalysis Chair:G.Nicolini(RoomVolta) C.Davino,R.Romano andapplications Chair:M.Chiodi(RoomScarpa) 18:1519:30CAAGAssembly(AulaFoscolo)
Cladag2011ProgramSchedule 08:3008:50
Thursday, September 8, 2011 Specialized SessionAdvancesinStudenttbasedstatisticalmodelingAnalysisofasymmetricrelationshipsAnalysisandclassificationofnonstandarddata Chair:F.Greselin(RoomFoscolo)Chair:A.Okada(RoomVolta)Chair:G.Ragozini(RoomScarpa) A.Kleefeld,V.BrazauskasG.BoveA.M.AlonsoD.CasadoS.LópezPintadoJ.Romo08:3008:50 08:5009:10 09:1009:30 09:3009:45
A.Kleefeld,V.BrazauskasG.BoveA.M.AlonsoD.CasadoS.LópezPintadoJ.Romo P.McNicholasM.deRooijA.Balzanella,L.Rivoli,R.Verde R.Fucci,A.C.MontiM.NakaiP.Secchi,S.Vantini,V.Vitelli Discussant:F.GreselinDiscussant:A.OkadaDiscussant:G.Ragozini SolicitedSessionClassificationproblemsinfinanceModerncomputationalmethodsforclassificationofRegressionmodelsforspatialdata Chair:D.Zappa(RoomFoscolo)Chair:F.Laurini(RoomVolta)Chair:M.Mezzetti(RoomScarpa) 09:5010:10M.Cattelan,C.Varin 10:1010:30 10:3010:50 10.5011:15
A.Bramante,A.Cipollini,A.Manzini N.Chopin,P.Jacob,O.PapaspiliopoulosR.Chambers,E.Dreassi,N.Salvati G.Gabbi P.PauliM.Bevilacqua,C.Gaetan,E.Porcu E.OtrantoS.Leorato,M.Mezzetti CoffeeBreak SolicitedSessionStatisticalmethodsfortheassessmentofuniversitiesStatisticalissuesandinferentialresultsinCUBmodelsSymbolicdataanalysis ChairLGrilli(RoomFoscolo)ChairDPiccolo(RoomVolta)ChairAIrpino(RoomScarpa) 11:1511:35 11:3511:55 11:5512:15
Chair:L.Grilli(RoomFoscolo)Chair:D.Piccolo(RoomVolta)Chair:A.Irpino(RoomScarpa) M.Attanasio,G.Boscaino,V.Capursi,A.PlaiaS.Bonnini,L.Salmaso,F.SolmiE.Diday M.Bini,L.GrilliL.Deldossi,R.ParoliC.Drago,C.Lauro,G.Scepi P.CerchielloM.IannarioR.Verde,A.Irpino Contributed SessionClassificationandDataAnalysis(1)DataAnalysisinEconomicandFinanceLatentClassModel,ClassificationandNonParametricstatistics Chair:S.Zaccarin(RoomFoscolo)Chair:S.Ingrassia(RoomMagna)Chair:D.Calò(RoomScarpa)Chair:P.Cerchiello(RoomVolta) 12.2012:35 12:3512:50 12:5013.05 13:0513.20 13:2013.35
SessionChair:S.Zaccarin(RoomFoscolo)Chair:S.Ingrassia(RoomMagna)Chair:D.Calò(RoomScarpa)Chair:P.Cerchiello(RoomVolta) J.Andrews,P.D.McNicholasA.Dridi,M.ElGhourabi,M.LimamS.Bacci,F.Bartolucci,M.GnaldiL.DallaValle,G.Nicolini S.Bolasco,P.PavoneD.F.Iezzi,M.Mastrangelo,S.SarloF.Bartolucci,G.E.Montanari,S.PandolfiD.DeStefano F.Caruso,G.Giuffrida,C.ZarbaA.Lourme,C.BiernackiF.Bassi,M.Croon,A.PittarelloM.ManiseraF.Campobasso,A.Fanizzi A.Unlu,A.SarginF.Telmoudi,M.ElGhourabi,M.LimamM.Gnaldi,F.Bartolucci,S.BacciE.Raffinetti I.SulisF.Ferraty,A.Goia,E.Salinelli,P.Vieu 13:3514:40 14:4015:00 15:0015:20 15201540
Lunch Specialized SessionGeneticalgorithmsandsurveysHiddenMarkovmodels:theorydevelopmentsandStatisticsforShape,ImageandFunctionaldata Chair:M.Gasparini(RoomFoscolo)Chair:A.Maruotti(RoomVolta)Chair:R.Verde(RoomScarpa) M.Ballin,G.BarcaroliJ.BullaL.Fontanella,L.Ippoliti,P.Valentini,F.Festa R.DiManno,M.Scanu,P.VicardF.Lagona,M.PiconeS.A.Gattone DZardettoMScannapiecoRLangrockILMacDonaldWalterZucchiniCGlasbey15:2015:40 15:4015:55 16:0016:40 16:4017.05
D.Zardetto,M.ScannapiecoR.Langrock,I.L.MacDonald,WalterZucchiniC.Glasbey Discussant:M.GaspariniDiscussant:A.MaruottiDiscussant:R.Verde KeynoteLectureF.Palumbo"Exploratoryanalysisforintervalvalueddata"(Chair:O.Papaspiliopoulos,AulaMagna) CoffeeBreak Contributed SessionClassificationandDataAnalysis(2)ClassificationanddataAnalysis(2)ServiceevaluationandcustomerClassificationmodels Chair:PBove(RoomFoscolo)Chair:SFigini(RoomVolta)Chair:MBallin(RoomScarpa)Chair:PGiudici(RoomMagna) 17:0517:20 17:2017.35 17.3517:50 17:5018.05 18:0518.20
SessionChair:P.Bove(RoomFoscolo)Chair:S.Figini(RoomVolta)Chair:M.Ballin(RoomScarpa) F.Martella,D.Vicari,M.Vichi F.DeNatale,L.Fattorini,S.Franceschin,P.F.Musella,P.VicardS.Fontanella,C.FusilliandL.Ippoliti Chair:P.Giudici(RoomMagna) L.Bocci,M.Vichi R.D'Agata,V.TomaselliC.Capuano,D.DeStefano,A.DelMonte,MA.AttanasioM.Maravalle,C.Marziliano B.Franczak,R.Browne,P.McNicholas A.Tarsitano,M.Falcone
F.Crippa,M.Marelli M.Scagliarini,S.EvangelistiB.Hagen,A.Zucchella,P.Cerchiello,N.De N.SolaroC.Tarantola,P.Vicard,I.Ntzoufras L.Dancelli,M.Manisera,M.VezzoliC.Liberati,P.MarianiV.Calzati E.Sironi 20.00,,, SocialDinner
Cladag2011ProgramSchedule Friday, September 9, 2011 Specialized SessionMisuraintegratadeirischi(incollaborazioneconClassificationmethodsfortimedependentdataStatisticalmethodsforhighdimensionalbiological Chair:M.Anolli(RoomFoscolo)Chair:C.Perna(RoomScarpa)Chair:A.Montanari(RoomVolta) 09:0009:20 09:2009:40 09:4010:00 10:0010:15 10:2011:10
SessionChair:M.Anolli(RoomFoscolo)Chair:C.Perna(RoomScarpa)Chair:A.Montanari(RoomVolta) M.BignamiG.Cubadda,B.Guardabascio,A.HecqM.R.Oelker,A.L.Boulesteix S.FiginiM.Gerolimetto,I.ProcidanoD.Causeur D.MignaccaM.Niglio,G.Storti,C.VitaleL.Trinchera,E.LeFloch,A.Tenenhaus Discussant:M.AnolliDiscussant:C.PernaDiscussant:A.Montanari KeynoteLectureV.Batagelj"Clusteringoflargedatasetsofmixedunits"(Chair:M.Vichi,AulaMagna) 11:1011:30 11:3011:50 11:5012:10 12101230DViiMAlfò CoffeeBreak SolicitedSessionIntegratingadministrativedataandlargescalesurveysNewtrendsincomplexityreductioninmultivariateAdvancedmethodsinnetworkanalysis Chair:M.Scanu(RoomFoscolo)Chair:G.D.Costanzo(RoomScarpa)Chair:M.P.Vitale(RoomVolta) BVtiACtti
V.AmatiP.L.Conti,D.MarellaC.Cappelli,F.DiIorio,P.D'Urso D.DeStefanoM.D'OrazioF.Domma,F.Condino MDij12:1012:30D.Vicari,M.Alfò 12:3013:30 13.4514:00 14:0014:15TDiBattistaSDiZioCCeccatelliRMar
B.Vantaggi,A.CapotortiM.vanDuijn Lunch Contributed SessionDataAnalysisinEconomicandFinanceDataAnalysis(1)ClassificationandClustering(3)DataAnalysis(2) Chair:M.Costa(RoomFoscolo)Chair:D.Vicari(RoomMagna)Chair:P.Giudici(RoomVolta)Chair:C.Tarantola(RoomScarpa) R.Castellano,G.PunzoS.Calligaris,F.MecattiC.Agostinelli,M.RomanazziA.Costa FDellaRattaRinaldiFGalloBLorèBArpinoFBillariMCannasPMarianiEZavarrone14:0014:15T.DiBattista,S.DiZio,C.Ceccatelli,R.Mar 14:1514:30 14:3014:45 14.4515:00M.Vezzoli,E.Zavarrone 15:1517:30 17.30Closingceremony:S.Ingrassia,P.GiudiciSymposium:E.Giovannini(ISTAT),N.Pagnoncelli(IPSOS),E.Rocca(CREVAL),M.DegliEsposti(VIAAcademy),P.Giudici(UNIPV)B.Marchione(AICUN)S.Subedi,P.McNicholasI.Sulis,M.Porcu F.DellaRattaRinaldi,FGallo,B.Lorè G.D'EpifanioB.Arpino,F.Billari,M.Cannas S.Lombardi,F.Verrecchia G.Giuliani,R.Lima,R.RanaldiA.Guglielmi,F.Ieva,A.M.Paganoni,F.RugP.Mariani,E.Zavarrone S.Minotti,G.Spedicato A.Simonetto,M.CarpitaL.ScruccaG.Morandi 17.30Closingceremony:S.Ingrassia,P.Giudici
Abstracts 4
Multidimensional Latent Class IRT Models:
An Extension to Items with Ordinal Responses
Silvia Bacci + Francesco Bartolucci + Michela Gnaldi
University of Perugia, Italy, e-mail: {silvia.bacci; bart; michela.gnaldi}@stat.unipg.it
We formulate a class of Item Response Theory models which may be used to assess the dimen- sionality of a set of items with ordinal responses. This class of models extends an existing one for items with dichotomous responses, which being multidimensional, represents the latent traits by a random vector. This vector has a discrete distribution with support points corresponding to differ- ent latent classes. Several parameterisations may be adopted in the extended class of models for the conditional distribution of the response variables given the abilities, such as those adopted in the Rating Scale model, in the Partial Credit model, and in the Graded Response model. In order to illustrate the proposed models, we analyze data coming from a study about levels of anxiety and depression in oncological patients, for which a Graded Response parameterisation is adopted.
Model-Based Clustering and Classification via Patterned Covariance Analysis
Luca Bagnato + Francesca Greselin
University Milano-Bicocca, Italy, e-mail: {luca.bagnato; francesca.greselin }@unimib.it
This work deals with the classification problem in the case that groups are known and both labeled and unlabeled data are available. The classification rule is derived using Gaussian mixtures, with covariance matrices fixed according to a multiple testing procedure, which allows to choose among four alternatives: heteroscedasticity, homometroscedasticity, homotroposcedasticity, and homoscedasticity. The mixture models are then fitted using all available data (labeled and unla- beled) and adopting the EM and the CEM algorithms. Applications on real data are provided in order to show the classification performance of the proposed procedure.
The Genetic Algorithm: Applications for the Optimisation of the Sampling Strategy
Marco Ballin + Giulio Barcaroli
Istituto Nazionale di Statistica (ISTAT), Rome, Italy, e-mail: {ballin;barcarol}@istat.it
Sampling design and estimation are the two components that lead to the definition of the sampling strategy. It is quite common that both components are based on a partition of the population and sample units in homogeneous classes: sampling strata and reference group for the calibration model.
In this paper it is shown as the genetic algorithm can help in the search of the optimal solution in both steps: for sampling design, in finding the best stratification that ensures efficiency; in estimation, by determining the best reference group, the one that guarantees the minimum sampling variance and/or minimum bias due to non response. While this approach has already been studied and applied in ISTAT real surveys for sampling design, the case of estimation still needs a practical verification.
Edizioni dell’Università degli Studi di Pavia
€ 9,80
Texts published by Pavia University Press in the series “Editoria scientifica” have been peer-reviewed prior to acceptance by the Editorial Board. www.paviauniversitypress.it/scientifica
CLADAG promotes advanced methodological research in multivariate statistics with a special interest in Data Analysis and Classification. It supports the interchange of ideas in these fields of research, including the dissemination of concepts, numerical methods, algorithms, computational and applied results.
CLADAG is a member of the International Federation of Classification Societies (IFCS).
Among its activities, CLADAG organizes a biennial international scientific meeting, schools related to classification and data analysis, publishes a newsletter and cooperates with other member societies of the IFCS in the organization of their conferences.
The scientific program of the meeting covered the following topics:
Classification theory Multivariate data analysis Proximity structure analysis Software developments
Applied classification and data analysis
Previous CLADAG meetings were held in Pescara (1997), Roma (1999), Palermo (2001), Bologna (2003), Parma (2005), Macerata (2007) and Catania (2009).
The 8th Biennial International Meeting of the CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society was hosted by the University of Pavia within the celebration of its 650th anniversary, from September 7th to September 9th, 2011.
The present book contains the abstract of the papers presented during the meeting. The four pages version of the papers is contained in the USB pen, with an ISBN code as well.
All papers were reviewed.
P a v i a U n i v e r s i t y P r e s s
Book of Abstracts
8
thScientific Meeting
of the CLAssification and Data Analysis Group of the Italian Statistical Society
University of Pavia, September 7-9, 2011
Edited by
Paola Cerchiello – Claudia Tarantola
