Publications
Submitted
Egidi L., Pauli F. and Torelli N. (2019). Avoiding prior-data conflict via mixture priors. Submitted to Canadian Journal of Statistics.
Egidi, L., Pappadà, R., Pauli, F., Torelli, N. (2019). pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering.
Submitted to The R Journal.
Egidi L. and Torelli N. (2019). Comparing goal-based and result-based approach in modelling football outcomes. Submitted to Social Indicators Research.
Egidi, L., Pauli, F., Torelli, N. and Zaccarin, S. (2018). Clustering spatial networks through latent mixture models. Under review in Advances in Data Analysis and Classification.
Published
Egidi, L., Pappadà, R., Pauli, F., and Torelli, N. (2018). Relabelling in Bayesian mixture models by pivotal units. Statistics and Computing, 28(4), 957-969.
Egidi L., Gabry J.S. (2018). Bayesian hierarchical models for predicting individual performance in soccer. Journal of Quantitative Analysis of Sports, 14(3), 143-157.
Castelpietra, G., Egidi, L., Caneva, M., Gambino, S., Feresin, T., Mariotto, A., Balestrieri, M., De Leo, D., Marzano, L. (2018). Suicide and suicides attempts in Italian prison epidemiological findings from the “Triveneto” area, 2010–2016. International Journal of Law and Psychiatry, 61, 6-12.
Egidi L., Pauli F. and Torelli N. (2018). Combining historical data and bookmakers’odds in modelling football scores. Statistical Modelling, 18 (5-6), 1-24.
Book chapters
Egidi, L., Pappadà, R., Pauli, F., Torelli, N. (2018). Maxima Units Search (MUS) algorithm: Methodology and applications. In: Perna, C. , Pratesi, M., Ruiz-Gazen A. (eds.) Studies in Theoretical and Applied Statistics, Springer Proceedings in Mathematics & Statistics 227, pp. 71–81.
Conference proceedings
Egidi, L., Pappadà, R., Pauli, F., Torelli, N. (2019). Pivotal seeding for K-means based on clustering ensembles. pp.849-854. In Smart Statistics for Smart Applications - Book of Short Papers SIS 2019 - ISBN:9788891915108.
Egidi L., Pauli F. and Torelli N. (2018). Are the shots predictive for the football results? Conference Paper, Book of Short Papers, SIS2018, ISBN: 9788891910233.
Egidi, L., Pappadà, R., Pauli, F., Torelli, N. (2018). K-means seeding via MUS algorithm. Conference Paper, Book of Short Papers, SIS2018, ISBN: 9788891910233.
Egidi L., Gabry J.S., Bayesian hierarchical models for predicting individual performance in football (soccer), Conference Paper, MathSport International 2017 Conference. ISBN 978-88-6938-058-7, Padova, 26-28 June 2017.
Egidi L., Pappadà R., Pauli F. and Torelli N. - Relabelling in Bayesian Mixture Models by Pivotal Units - Una procedura di relabelling in modelli mistura Bayesiani basata su unità pivotali. Conference Paper, SIS2016 Proceedings. ISBN 9788861970618. [48th Scientific Meeting of the Italian Statistical Society, Salerno, 8-10 June 2016]
R packages
pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering, available at: https://cran.r-project.org/web/packages/pivmet/index.html
Oral/Poster presentation
Egidi L., Pappadà R., Pauli F. and Torelli N. - Relabelling in Bayesian Mixture Models by Pivotal Units - ISBA meeting, 13-17 June 2016. (Poster presentation)
Egidi L., Pappadà R., Pauli F. and Torelli N. - Relabelling in Bayesian Mixture Models by Pivotal Units - MBC2 workshop, 5-7 September 2016. (Short talk+Poster presentation)
Egidi L., Pauli F., Torelli N. - A Hierarchical Bayesian Model for Football Scores using the Bookmakers Odds - SISBayes meeting, 7-8 February 2017, Roma. (Short talk+Poster presentation)
Egidi L., Pauli F., Torelli N. - Mixture Data-dependent priors - BISP 10, 13-15 June 2017, Milano. (Poster presentation)
Egidi L., Gabry J.S., Bayesian hierarchical models for predicting individual performance in football (soccer) - MathSport International 2017 Conference. Padova, 26-28 June 2017. (Oral presentation)
Egidi L., Pauli F. and Torelli N. A Hierarchical Bayesian Model for the Football Scores Using the Bookmakers Odds. AUEB Sports Analytics Workshop 2017 Book of Abstracts. [AUEB Sports Analytics Workshop 2017, Athens, 7-8 November 2017].
2018-2019 presentations are coming!
