Nome Jacopo Diquigiovanni

Ciclo Ordinamento 34
Cycle XXXIV
Qualification Dottorando
At the Department of Statistical Sciences University of Padua
Research Fellows: no
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Contacts (room / phone): Aula Uggè - Telefono: 049 827 4141
Email: jacopo.diquigiovanni@phd.unipd.it
Years of study: 2018 - 2021
Supervisor: Simone Vantini (Politecnico di Milano)
Co-supervisor:
Education:
October 2018 - Today: Ph.D. student in Statistical Sciences (XXXIV Cycle), Department of Statistical Sciences, University of Padua
October 2015 - September 2017: Master's degree in Statistical Sciences, Department of Statistical Sciences, University of Padua
October 2012 - July 2015: Bachelor's degree in Statistics, Economics and Finance, Department of Statistical Sciences, University of Padua
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Thesis:
M. Sc. Thesis: Clustering networks: methodological developments and an application to association football (written in Italian). Supervisor: Dr Bruno Scarpa. Final Mark: 110/110 cum laude
B. Sc. Thesis: Clustering three-way data by mixtures of normal matrices: some theoretical issues and a simulation study (written in Italian). Supervisor: Dr Giovanna Menardi. Final Mark: 110/110 cum laude
PhD Thesis Title:
Publications:
- Diquigiovanni, J. (2019). A clustering method for network data to analyse association football playing styles. Book of Short Papers SIS2019 (Arbia, G., Peluso, S., Pini, A. and Rivellini, G., editors).
- Petretta, M., Schiavon, L. and Diquigiovanni, J. (2019).Betting on football: a model to predict match outcomes. Book of Short Papers SIS2019 (Arbia, G., Peluso, S., Pini, A. and Rivellini, G., editors).
- Diquigiovanni, J. and Scarpa, B. (2018). Analysis of association football playing styles: an innovative method to cluster networks. Statistical Modelling, 19(1), 28-54.
- Duncan, A., Diquigiovanni, J., Papastathopoulos, I., Zygalakis, K. and Campagnolo, G., M. (2018). Predicting FIFA World Cup 2018 key role and playing style features. 2018 OptaPro Analytics Forum.
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allegato: