Claudio Agostinelli Claudio Agostinelli, PhD in Statistics - University of Padua - Padua, Italy, is associate professor of Statistics at the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University - Venice, Italy. He has been visiting Scholar at Columbia University, University of Buenos Aires, University of British Columbia and Kuwait University. He is a member of the PHD program in Management of Ca’ Foscari University, where he teaches Statistics models for management studies. Research Areas His areas of interests are robust statistics, data depth and directional data. Recent focuses are on robust methods for asymmetric distributions, robust model selection procedures and robust estimation under the independent contamination model; local depth and its applications. Research Projects He participated in several national research projects on among which research project funded by the Italian Ministry of University and research: PRIN_MURST 2003-2005, 2006-2008, 2009-2011 and Swiss National Science Foundation 2012-2014. He is also the coordinator of a project funded in the VI scientific cooperation program between Italy and Argentina 2014-2016. Conference Participation He presented several talks at international top conferences such as ICORS (International Conference on Robust Statistics) and ERCIM conferences (European Research Consortium for Informatics and Mathematics). He was chair, invited speaker and discussant in several national and international events. Teaching Activities He teaches at bachelor and postgraduate level courses in Italian and English on Probability and Statistics, Environmental Statistics and Forecast and Simulation methods. He teaches the PhD course in English “Statistics models for management studies”. Editorial Boards And Scientific Committees Membership Member of the editorial board of Computational Statistics, member of editorial board of Journal of Data Analysis and Operational Research. Member of the Steering Committee of the International Conference on Robust Statistics. Member of the scientific committee and organizing committee of several national and international conferences. Books, chapters, articles and conference papers (2009-) Books and chapters M. Riani, A. Cerioli, C. Agostinelli, and D. Perrotta (Editors) (2009). ICORS09 International Conference on Robust Statistics: Book of Abstract. Libero Libri, Treviso. ISBN 978-88-903330-0-2. C. Agostinelli and M. Salibian-Barrera (2010). Robust model selection with LARS based on Sestimators. In Y Lechevallier and G Saporta, Proceedings of COMPSTAT 2010, 19th International Conference on Comptutational Statistics, 69-78. Physica-Verlag, Berlin, Paris. ISBN 978-3-79082603-6. 1 C. Agostinelli e M. Romanazzi (2013). Ordering curves by data depth. In P. Giudici, S. Ingrassia, e M. Vichi, curatori, Statistical Models for Data Analysis, volume XV di Studies in Classification, Data Analysis, and Knowledge Organization, pagine 1–18. Springer International Publishing. ISBN 978-3319-00032-9. doi:10.1007/978-3-319-00032-9 1. M. Romanazzi e C. Agostinelli (2013). Topics in data depth: robustness, dispersion and local depth. In N. Torelli, F. Pesarin, and A. BarHen, Advances in Theoretical and Applied Statistics, Studies in Theoretical and Applied Statistics. Springer. ISBN 978-3-642-35587-5. Articles C. Agostinelli (2009). Bias bound for the minimax estimator. Journal of Statistical Planning and Inference, 139:2235-2241. doi:10.1016/j.jspi.2008.10.006. C. Agostinelli (2009). Bounds for the bias of estimators under contamination. Sankhya, 71(1):19-34. C. Agostinelli (2009). Estimating the model of the majority of the data. Advances and Applications in Mathematical Sciences, 1(1):209-237. ISSN 0974-6803. C. Agostinelli and L. Bisaglia (2010). ARFIMA processes and outliers: a weighted likelihood approach. Journal of Applied Statistics, 37(9):1569-1584. ISSN 0266-4763. doi:10.1080/02664760903093609. C. Agostinelli and M. Romanazzi (2011). Local depth. Journal of Statistical Planning and Inference, 141:817-830. ISSN 0378-3758. doi:10.1016/j.jspi.2010.08.001. C. Agostinelli e Luca Greco (2012). A weighted strategy to handle likelihood uncertainty in bayesian inference. Computational Statistics. doi:10.1007/s00180-011-0301-1. Luiz Gustavo, R. Oliveira-Santos, Carlos A. Zucco, and C. Agostinelli (2012). Conditional circular kernel density functions to analyze and test hypothesis in animal circadian activity. Animal Behaviour. doi:10.1016/j.anbehav.2012.09.033. C. Agostinelli and M. Romanazzi (2013). Nonparametric analysis of directional data based on data depth. Environmental and Ecological Statistics, 20(2):253–270. doi:10.1007/s10651-012-0218-z. C. Agostinelli and M. Romanazzi (2013). Asymptotics of stationary points of local simplicial depth in the univariate case. Mathematical Methods of Statistics, 22(1):57-60. C. Agostinelli, Alfio Marazzi, e Victor J. Yohai (2014). Robust estimates of the generalized loggamma distribution. Technometrics, 56(1): 92-101, DOI:10.1080/00401706.2013.818578. C. Agostinelli and Fatemah Alqallaf (2014). Robust inference in generalized linear models. Communication in Statistics: simulation and computation. In Press. Recent conferences, abstracts and papers C. Agostinelli (2010). Robust statistical modelling with r. In Book of Abstract 28th European Meeting of Statisticians, Piraeus, Athens. C. Agostinelli e M. Romanazzi (2012). Depth analysis of directional data. In Atti della XLVI Riunione Scientifica Roma, 20-22 giugno 2012. ISBN 978-88-6129-882-8. L. Greco and C. Agostinelli (2012). Weighted likelihood in bayesian inference. In Atti della XLVI Riunione Scientifica Roma, 20-22 giugno 2012. ISBN 978-88-6129-882-8. V. Yohai C. Agostinelli e R. Maronna (2012). Robust estimation for multivariate data under the independent contamination model. In Atti della XLVI Riunione Scientifica Roma, 20-22 giugno 2012. ISBN 978-88-6129-882-8. C. Agostinelli e A. Gagliardi (2013). Robustness issues in linear-circular regression models. In Abstract Book of the 6th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2013). 2

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