Lorenzo SCHIAVON

Position
Adjunct Professor
Telephone
041 234 9220
E-mail
lorenzo.schiavon@unive.it
Academic discipline
Statistics [STAT-01/A]
Website
https://www.unive.it/people/lorenzo.schiavon (personal record)

Office hours

Office hours a.y. 2025/26 - 1/2 class period - Department of Economics

Office hours are on Tuesday from 10.30am to 12.30pm CET at office E.201 -  Building E - Campus S.Giobbe. Alternative time slots can be arranged. Reservation via e-mail is required.

Thesis supervision

Topics for possible master's or bachelor's theses are related to statistics and data modelling. Theses could focus on either methodological aspects or statistical applications. I am interested in Bayesian statistics, methods for complex and big data, factor models. Applications could regard social or economical problems, as well as sport data. The student can certainly propose his/her own topic in statistics and data modelling.

Teaching activity current year

Teaching activity previous years

Activities and research skills

Academic discipline
Statistica [STAT-01/A]
Settore Scientifico Disciplinare (SSD) affine
STATISTICA SOCIALE [SECS-S/05]
Geographic areas in which the research experience mainly applies
Regionale
Known languages
Inglese (scritto: avanzato parlato: avanzato)
Francese (scritto: base parlato: base)

Publication highlights

Mattia Stival, Schiavon Lorenzo, Stefano Campostrini A Bayesian approach to model local and temporal heterogeneity in repeated cross-sectional health surveys in JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY, vol. 189 (ISSN 0964-1998)
DOI 2026, Journal Article - ARCA card: 10278/5083970

Nipoti, Bernardo; Schiavon, Lorenzo Expected goals under a Bayesian viewpoint: uncertainty quantification and online learning in JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS, vol. 21, pp. 37-50 (ISSN 2194-6388)
DOI 2025, Journal Article - ARCA card: 10278/5082205

Petretta, Marco; Schiavon, Lorenzo; Diquigiovanni, Jacopo Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal in STATISTICAL MODELLING, vol. 25, pp. 255-269 (ISSN 1471-082X)
DOI 2025, Journal Article - ARCA card: 10278/5066101

Lorenzo Schiavon, Bernardo Nipoti, Antonio Canale Accelerated structured matrix factorization in JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, vol. 33, pp. 917-927 (ISSN 1061-8600)
DOI 2023, Journal Article - ARCA card: 10278/5046026

Schiavon, L; Canale, A; Dunson, D B Generalized infinite factorization models in BIOMETRIKA, vol. 109, pp. 817-835 (ISSN 0006-3444)
DOI 2022, Journal Article - ARCA card: 10278/5030600

List of publications 

List of publications

List of selected publications 

Curriculum vitae

CURRENT POSITION

2023-present: Research fellow (RTDa); Department of Economics, Ca' Foscari University of Venice.

 

PAST POSITIONS

  • 2022-2023: Postdoctoral research fellow; Department of Statistical Sciences, University of Padova (Padova).
  • 2021-2023: Data science consultant at GEDI Gruppo Editoriale (Turin).

 

EDUCATION

  • 2018-2022: Ph.D. in Statistical Sciences; Department of Statistical Sciences, University of Padova.
    Thesis: Bayesian infinite factorization methods with applications to tracking data in football
  • 2019-2022: MBA - Science & Management program; Collège des Ingénieurs, Turin.
  • 2016-2018: M.S. in Statistical Sciences; Department of Statistical Sciences, University of Padova.
    Thesis: Bias reduction in a fixed effects model for Expected Goals
  • 2013-2016: B.S. in Statistics, Economics and Finance; Department of Statistical Sciences, University of Padova. Thesis: Human capital and economic growth: the role of heterogeneity among groups of countries

 

Full CV: https://lorenzo-schiavon.github.io/

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