- Assistant Professor of Statistics (SECS-S/01) - L.240/10 Department of Economics,

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1 Silvia Pandolfi Curriculum Vitae Personal Data Place and date of birth Foligno, Italy, February 26, Current Position 2015 Present Assistant Professor of Statistics (SECS-S/01) - L.240/10 Department of Economics,, Italy. Past Position Research Fellow Department of Economics, Finance and Statistics - Department of Political Sciences,, Italy. Research Project: Sviluppo di metodologie statistiche per l analisi di questionari sullo stato di salute degli anziani ospitati in residenze protette Coordinator: Prof. Giorgio Eduardo Montanari Education February 2011 October 2007 July 2004 Ph.D. on Mathematical and Statistical Methods for the Economic and Social Sciences,, Italy. Thesis: Reversible Jump Markov chain Monte Carlo for Bayesian estimation and model selection: extensions and application to latent variable models Advisor: Prof. Francesco Bartolucci Second Level Degree in Statistics, (Statistica ed Informatica per l Azienda - classe 91/S lauree specialistiche),, Italy. Thesis: Stima del modello logit dinamico ad effetti fissi tramite statistiche quasi sufficienti Advisor: Prof. Francesco Bartolucci Final mark: 110/110 cum laude First Level Degree in Statistics, (Statistica ed Informatica per la Gestione delle Imprese - classe 37 lauree primo livello),, Italy. Thesis: Metodi statistici per la valutazione all interno delle imprese Advisor: Prof. Massimo Cossignani Final mark: 110/110 cum laude 1/6

2 July 2000 Secondary School Specializing in Technical College, (Ragioniere perito commerciale e programmatore), Perugia, Italy. Final mark: 100/100 Research Interest Mixture and latent variable models; longitudinal categorical data; models based on latent Markov chains; estimation of latent variable models in R; Markov chain Monte Carlo (MCMC) algorithms for estimation and model selection Publications Journal articles 1. Bartolucci, F., Montanari, G.E. and Pandolfi, S. (2015). Three-step estimation of latent Markov models with covariates, Computational Statistics and Data Analysis, 83, (previous technical report 2. Bacci, S., Pandolfi, S., and Pennoni, F. (2014). A comparison of some criteria for states selection in the latent Markov model for longitudinal data, Advances in Data Analysis and Classification, 8, (previous technical report 3. Pandolfi, S., Bartolucci, F. and Friel, N. (2014). A generalized Multiple-try Metropolis version of the Reversible Jump algorithm, Computational Statistics and Data Analysis, 72, (previous technical report 4. Bartolucci, F. and Pandolfi, S. (2014). Comment on the paper On the memory complexity of the forward-backward algorithm, Pattern Recognition Letters, 38, Bartolucci, F. and Pandolfi, S. (2014). A new constant memory recursion for hidden Markov models, Journal of Computational Biology, 21, Bartolucci, F., Montanari, G.E. and Pandolfi, S. (2012). Dimensionality of the latent structure and item selection via latent class multidimensional IRT models, Psychometrika, 77, Rocchi, P., Pandolfi, S. and Rocchi, L. (2010). Classical and Bayesian statistics: a survey upon the dualist production. International Journal of Pure and Applied Mathematics, 58, Contributions to books 8. Bartolucci, F., Farcomeni, A., Pennoni, F. and Pandolfi, S. (2013). Bayesian Latent Markov Models, in Bartolucci, F., Farcomeni, A., Pennoni, F. (Eds.) Latent Markov Models for Longitudinal Data, Chapman and Hall/CRC press Conference papers 9. Francis, B., Pennoni, F., Pandolfi, S., and Bartolucci, F. (2014). Robust latent class analysis through outlier detection and modelling, Book of Abstract 7th International Conference of the ERCIM Working Group on Computational and Methodological Statistics, ISBN: /6

3 10. Bartolucci, F., Montanari, G.E. and Pandolfi, S. (2014). A comparison of some estimation methods for latent Markov models with covariates, Proceedings of COMPSTAT st International Conference on Computational Statistics, pp , ISBN: Bartolucci, F., Montanari, G.E. and Pandolfi, S. (2013). Three-step estimation of latent Markov models with covariates and possible dropout. Proceedings of the SIS 2013 Statistical Conference, in Brentari E., Carpita M. (Eds.) Advances in Latent Variables, Electronic Book, Vita e Pensiero, Milan, Italy, ISBN Montanari, G.E. and Pandolfi, S. (2012). Evaluation of Nursing Homes Using an Extended Latent Markov Model, Book of Short Papers of the JCS-CLADAG Scientific Meeting, CLEUP Padova, ISBN: Bartolucci, F., Montanari, G.E., Pandolfi, S. (2011). Item Selection via Latent Class Based Clustering Methods. Atti della VIII Riunione Scientifica del gruppo CLADAG-SIS, Paola Cerchiello, Claudia Tarantola (eds) - Pavia : Pavia University Press. ISBN (short paper USB stick - ISBN: ) 14. Pandolfi, S., Bartolucci, F. and Friel, N. (2010). A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. Journal of Machine Learning Research: W&CP, 9, , Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS) Farcomeni, A. and Pandolfi, S. (2010). Bayesian multivariate latent Markov models with an unknown number of regimes, Atti della XLV Riunione Scientifica della Società Italiana di Statistica - SIS 2010, USB stick ISBN: Under review and Technical report 16. Bacci, S., Bartolucci, F., and Pandolfi, S. (2015). A joint model for longitudinal and survival data based on an AR(1) latent process, under revision 17. Bartolucci, F., Marino, M.F., and Pandolfi, S. (2015). Composite likelihood inference for hidden Markov models for dynamic networks, under revision, available at Bartolucci, F., Farcomeni, A., Pandolfi, S., and Pennoni, S. (2105). LMest: an R package for latent Markov models for categorical longitudinal data, under revision, available at Bartolucci, F., Montanari, G. E. and Pandolfi, S. (2015). Latent ignorability and item selection for nursing homes evaluation, under revision 20. Bartolucci, F., Montanari, G. E. and Pandolfi, S. (2014). Item selection by Latent Class-based methods. under revision, available at Bartolucci, F., Montanari, G. E. and Pandolfi, S. (2012). Item selection by an extended Latent Class model: an application to nursing homes evaluation, Bartolucci, F. and Pandolfi, S. (2010). Bayesian inference for a class of latent Markov models for categorical longitudinal data, 3/6

4 Conferences and Seminars 1. 10th Scientific Meeting of the Classification and Data Analysis Group - CLADAG Santa Margherita di Pula, Cagliari (IT) - October 8-10, A joint model for longitudinal and survival data based on an AR(1) latent process. (Bacci, S., Bartolucci, F., and Pandolfi, S.), speaker: Pandolfi, S th International Workshop on Statistical Modelling - IWSM Linz (Austria) - July 6-10, Robust maximum likelihood estimation of latent class models. (Bartolucci, F., Francis, B., Pandolfi, S., and Pennoni, F.), speaker: Pennoni, F th International Workshop on Statistical Modelling - IWSM Linz (Austria) - July 6-10, Poster Session: Longitudinal data with informative dropout: an approach based on an AR(1) latent process. (Bacci, S., Bartolucci, F., and Pandolfi, S.) 4. Workshop on Metodi statistici per la medicina: alcune nuove proposte in ambito clinico e per la valutazione del sistema sanitario" - Perugia (IT) - February 4, Metodologia three-step per la stima di modelli latent Markov per dati longitudinali con covariate. (Bartolucci, F., Montanari, G.E., Pandolfi, S.), speaker: Pandolfi, S. 5. 7th International Conference of the European Research Consortium for Informatics and Mathematics - ERCIM Working Group on Computational and Methodological Statistics - Pisa (IT) - December 6-8, Robust latent class analysis through outlier detection and modelling. (Francis, B., Pennoni, F., Pandolfi, S., and Bartolucci, F.), speaker: Francis, B. 6. Conference of European Statistics Stakeholders - Rome (IT) - November 24-25, Three-step estimation of latent Markov models. (Bartolucci, F., Montanari, G.E. and Pandolfi, S), speaker: Bartolucci F st International Conference on Computational Statistics - COMPSTAT Geneva, Switzerland - August 19-22, A comparison of some estimation methods for latent Markov models with covariates. (Bartolucci, F., Montanari, G.E. and Pandolfi, S), speaker: Pandolfi S. 8. Invited talk on Three-step estimation of latent Markov models: an application to nursing homes evaluation, University of Milano-Bicocca (IT), Department of Statistics and Quantitative Methods - October 1, AG DANK/BCS Meeting London (UK) - November 8-9, Item selection by latent class-based methods: an application to nursing homes evaluation. (Bartolucci, F., Montanari, G.E., and Pandolfi, S.), speaker: Pandolfi S. 10. Conference of the International Federation of Classification Societies - IFCS Tilburg, the Netherlands - July 14-17, A New Constant Memory Recursion For Hidden Markov Models. (Bartolucci, F. and Pandolfi, S.), speaker: Pandolfi S. 11. SIS 2013 Statistical Conference on Advances in Latent Variables - Methods, Models and Applications - Brescia (IT) - June 19-21, Three-step estimation of latent Markov models with covariates and possible dropout. (Bartolucci, F., Montanari, G.E. and Pandolfi, S.), speaker: Pandolfi S. 4/6

5 12. First Meeting of the research group on Mixture and Latent Variable Models for Causal Inference and analysis of Socio-Economic Data - FIRB Perugia (IT) - March 15-16, A new constant memory recursion for Hidden Markov models (Bartolucci, F. and Pandolfi, S.), speaker: Pandolfi, S. 13. MBC2 - Workshop on Model Based Clustering and Classification - Catania (IT) - September 6-7, A comparison of some criteria for states selection of the latent Markov model for longitudinal data (Bacci, S., Bartolucci, F., Pandolfi, S. and Pennoni, F.), speaker: Bacci, S. 14. JCS-CLADAG 2012 Scientific Meeting - Anacapri (IT) - September 3-4, Evaluation of Nursing Homes Using an Extended Latent Markov Model. (Montanari, G.E. and Pandolfi, S.), speaker: Pandolfi S. 15. VIII Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society (CLADAG) - Pavia (IT) - September 7-9, Item selection via latent class based clustering methods. (Bartolucci, F., Montanari, G.E. and Pandolfi, S.), speaker: Pandolfi S. 16. Joint meeting GfKl - CLADAG Florence (IT) - September 8-10, Bayesian analysis of longitudinal categorical data via Latent Markov models. (Pandolfi, S., Bartolucci, F. and Farcomeni, A.), speaker: Pandolfi, S. 17. XLV Scientific Meeting of SIS Padua (IT) - June 16-18, Bayesian multivariate latent Markov models with an unknown number of regimes (Farcomeni, A. and Pandolfi, S.), speaker: Farcomeni, A. 18. Greco Italian Meeting on Statistics - Sardinia (IT) - September 23-25, Multivariate Latent Markov models with covariates for longitudinal data: Bayesian inference via Reversible Jump. (Bartolucci, F., Pandolfi, S.), speaker: Bartolucci, F. 19. XIII International Conference on Artificial Intelligence and Statistics (AISTATS) - Chia, Sardinia (IT) - May 13-15, Poster Session: A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. (Pandolfi, S., Bartolucci, F. and Friel, N.). 20. VII Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society (CLADAG) - Catania (IT) - September 9-11, Poster Session: Reversible Jump Acceleration via Multiple-try (Pandolfi, S., Bartolucci, F. and Friel, N.). Workshop and schools - IRVAPP WINTER SCHOOL Fundamentals and Methods for Impact Evaluation of Public Policies - Venice (IT) - February 14-19, Tutorial on Mixture modeling - Catania (IT), September 9-11, Workshop on Markov Chain Monte Carlo and related methods - Warwick, (UK) - March 16-20, Department of Statistics, University of Warwick. 5/6

6 Collaboration with scientific journals Referee activity for: Statistics in Medicine, Statistics and Computing, Biometrical Journal, Quality and Quantity, Metron, Computational Statistics, Statistics and Probability Letters Teaching a.a. 2015/16 a.a. 2014/ /14 a.a. 2014/15 a.a. 2013/ / /11 a.a. 2010/11 a.a. 2009/ / /08 a.a. 2006/07 Teaching assistance for the course of Statistics, Department of Economics (Terni), Ph.D. course Introduction to R, Department of Economics, Teaching assistance for the course of Statistics, Department of Political Sciences, Teaching assistance for the course of Informatics, Department of Political Sciences, Teaching assistance for the course of Informatics in Biotechnology field - Computer and Biostatistics, Faculty of Medicine, Teaching assistance for the courses of Statistics I and II, Faculty of Economics, Teaching assistance for the courses of Probability, Statistics I, II, II and IV, Faculty of Economics, Languages Italian English Spanish Mother tongue Advanced September February 2009: Visiting Ph.D. student at University College of Dublin - School of Mathematical Sciences Basic Computer skills Software Programming Office and Others R, MATLAB, STATA, SAS Contribution to the R Open Source project as developer and maintainer of the package LMest Fortran, Pascal, Java, Visual Basic Word, Excel, Access, Power Point, L A TEX 6/6