Publications
Accepted Papers
A Bayesian approach to model local and temporal heterogeneity in repeated cross-sectional health surveys
in: Journal of the Royal Statistical Society - A, in press.
Stival, M., Schiavon, L., Campostrini, S. (In press) A Bayesian approach to model local and temporal heterogeneity in repeated cross-sectional health surveys, Journal of the Royal Statistical Society Series A. doi: https://doi.org/10.1093/jrsssa/qnae138.
Expected goals under a Bayesian viewpoint: uncertainty quantification and online learning
in: Journal of Quantitative Analysis in Sports, 2024.
Nipoti, B., Schiavon, L. (In press) Expected goals under a Bayesian viewpoint: uncertainty quantification and online learning, Journal of Quantitative Analysis in Sports. doi: https://doi.org/10.1515/jqas-2024-0081.
Accelerated structured matrix factorization
in: Journal of Computational and Graphical Statistics, 2024.
Schiavon, L., Nipoti, B., Canale, A. (2024) Accelerated structured matrix factorization, Journal of Computational and Graphical Statistics, 33 (3), 917--927. doi: https://doi.org/10.1080/10618600.2023.2301072.
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal
in: Statistical Modelling, 2024.
Petretta, M., Schiavon, L., Diquigiovanni, J. (2024) Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal, Statistical Modelling, 0 (0). doi: https://doi.org/10.1177/1471082X241238802
Generalized infinite factorization models
in: Biometrika, 2022.
Schiavon, L., Canale, A., Dunson, D.B. (2022) Generalized infinite factorization models, Biometrika, 109 (3), 817--835. doi: https://doi.org/10.1093/biomet/asab056.
Is amyloid involved in acute neuroinflammation? A CSF analysis in encephalitis
in: Alzheimer's & Dementia, 2022.
Padovani, A., Canale, A., Schiavon, L., Masciocchi, S., Imarisio, A., Risi, B., Bonzi, G., De Giuli, V., Di Luca, M., Ashton, N.J., Blennow, K., Zetterberg, H., Pilotto, A. (2022) Is amyloid involved in acute neuroinflammation? A CSF analysis in encephalitis, Alzheimer's & Dementia. doi: https://doi.org/10.1002/alz.12554.
On the truncation criteria in infinite factor models
in: Stat, 2020.
Schiavon, L., Canale, A. (2020) On the truncation criteria in infinite factor models, Stat, 9(1), e298. doi: https://doi.org/10.1002/sta4.298.
Discussions
Invited Discussion of ‘Sparse Bayesian factor analysis when the number of factors is unknown’
in: Bayesian Analysis, 2024.
Canale, A., Schiavon, L, Stolf, F. (In press) Invited Discussion of ‘Sparse Bayesian factor analysis when the number of factors is unknown’ by Frühwirth-Schnatter S., Hosszejni D., and Freitas Lopes H., Bayesian Analysis.
Contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’
in: Journal of the Royal Statistical Society - C, 2023.
Stival, M., Schiavon, L. (2023) Mattia Stival and Lorenzo Schiavon’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Kosmidis and Dellaportas, Journal of the Royal Statistical Society Series C, 72 (5), 1132--1133. doi: 10.1093/jrsssc/qlad068.
Conference Proceedings
Efficient posterior inference for spatiotemporal modelling of repeated cross-sectional data.
in: Methodological and Applied Statistics and Demography II - SIS 2024, Short Papers, Solicited Sessions, 2024.
Schiavon, L., Stival, M. (In press). Efficient posterior inference for spatiotemporal modelling of repeated cross-sectional data, Methodological and Applied Statistics and Demography II - SIS 2024, Short Papers, Solicited Sessions (Editors: Pollice, A., Mariani, P.), ISBN e-book: 9783031643507.
Exploring disease prevalence in Italy: a web application utilizing sample-based predictions from a Bayesian spatio-temporal model with external validation.
in: Methodological and Applied Statistics and Demography IV - SIS 2024, Short Papers, Contributed Sessions 2, 2024.
Stival, M., Schiavon, L., Bertarelli, G., Campostrini, S. (In press). Exploring disease prevalence in Italy: a web application utilizing sample-based predictions from a Bayesian spatio-temporal model with external validation, Methodological and Applied Statistics and Demography IV - SIS 2024, Short Papers, Contributed Sessions 2 (Editors: Pollice, A., Mariani, P.), ISBN e-book: 9783031644474.
Latent Bayesian clustering for topic modelling
in: CLADAG 2023 - Book of Abstracts and Short Papers, 2023.
Schiavon, L.(2023) Latent Bayesian clustering for topic modelling, CLADAG 2023 - Book of Abstracts and Short Papers (Editors: Coretto, P., Giordano, G., La Rocca, M., Parrella, M.L., Rampichini, C.), ISBN: 9788891935632.
Bayesian regularized regression of football tracking data through structured factor models
in: Book of Short Papers SIS 2021, 2021.
Schiavon, L., Canale, A. (2021) Bayesian regularized regression of football tracking data through structured factor models, Book of Short Papers SIS 2021 (Editors: Perna, C., Salvati, N. and Schirippa Spagnolo, F.), ISBN: 9788891927361.
Bias reduced estimation of a fixed effects model for Expected Goals in association football
in: Book of Short Papers SIS 2019, 2019.
Schiavon, L., Sartori, N. (2019) Bias reduced estimation of a fixed effects model for Expected Goals in association football, in Book of Short Papers SIS 2019 (Editors: Arbia, G., Peluso, S., Pini, A. and Rivellini, G.), ISBN: 9788891915108.
Betting on football: a model to predict match outcomes
in: Book of Short Papers SIS 2019, 2019.
Petretta, M., Schiavon, L., Diquigiovanni, J. (2019) Betting on football: a model to predict match outcomes, in Book of Short Papers SIS 2019 (Editors: Arbia, G., Peluso, S., Pini, A. and Rivellini, G.), ISBN: 9788891915108.
A Markovian approach to darts
in: Proceedings of MathSport International 2017, 2017.
Bortolon, F., Castiglione, C., Parolini, L., Schiavon, L. (2017) A Markovian approach to darts, in Proceedings of MathSport International 2017 (Editors: De Francesco, C., De Giovanni, L., Ferrante, M., Fonseca, G., Lisi, F., Pontarollo, S.), ISBN: 9788869380587.