About me

  • Current Position: I am an Assistant Professor (Ricercatore SECS-S/01, Legge 240/10 tipo A) at the Department of Mathematics of Politecnico di Milano. I am a member of the MOX laboratory of mathematical modelling and scientific computing. Currently, I’m working on a project named GRINS: Growing Resilient, INclusive and Sustainable which is part of the Next Generation EU program (National Recovery and Resilience Plan).
  • Research Interests: Spatial and spatio-temporal models for data on linear networks.
  • Email Address: andrea.gilardi@polimi.it
  • Present Address: Politecnico di Milano, Department of Mathematics, Piazza Leonardo da Vinci, 32 – 20133 Milano - building 14 “Nave” Campus Bonardi, Italy.

Publications

Articles in refereed journals

  • Gilardi, A., Borgoni, R., Mateu, J., A non-separable first-order spatio-temporal intensity for events on linear networks: an application to ambulance interventions. (2024) Annals of Applied Statistics, Volume 18, No. 1, 529-554. [Link].
  • Gilardi, A., Borgoni, R., Presicce, L., Mateu, J. (2023) Measurement Error Models for Spatial Network Lattice Data: Analysis of car crashes in Leeds. Journal of the Royal Statistical Society: Series A (Statistics in Society), Volume 186, Issue 3, July 2023, Pages 313–334. [Link].
  • Gilardi, A., Mateu, J., Borgoni, R., Lovelace, R. (2022) Multivariate hierarchical analysis of car crashes data considering a spatial network lattice. Journal of the Royal Statistical Society: Series A (Statistics in Society), Volume 185, Issue 3, July 2022, Pages 1150–1177. [Link].
  • Borgoni, R., Gilardi, A., Zappa, D. (2020). Assessing the Risk of Car Crashes in Road Networks. Social Indicators Research, 1-19. [Link].

Refereed conference proceedings, publications in monographs, discussions

  • Gilardi, A., Borgoni, R., The impact of traffic flow and road signs on road accidents: an approach based on spatiotemporal point pattern analysis on linear networks. In: Book of the Short Papers - SIS 2023 (pp. 702-707), Pearson, ISBN: 9788891935618AAVV, Ancona (IT). [Link].
  • Gilardi, A., Borgoni, R., Mateu, J. (2022). Geographically weighted regression for spatial network data: an application to traffic volumes estimation. In 51th Scientific Meeting of the Italian Statistical Society (pp. 1504 - 1509). Torino:Pearson Italia. ISBN: 9788891932310, Caserta (IT). [Link].
  • Gilardi, A., Borgoni, R., Mateu, J. (2022). Spatial statistical calibration on linear networks: an application to the analysis of traffic volumes. In Proceedings of the 10th International Workshop on Spatio-Temporal Modelling, Lleida (Spain), 1-3 June 2022. ISBN 978-84-9144-364-3. [Link].
  • Gilardi, A., Borgoni, R., Presicce, L., Mateu, J. (2021) Measurement error models on spatial network lattices: car crashes in Leeds. In 13th Scientific Meeting of the Classification and Data Analysis Group, Firenze, September 9-11, 2021. [Link].
  • Gilardi, A., Borgoni, R., Mateu, J. (2021). A spatio-temporal model for events on road networks: an application to ambulance interventions in Milan. In 50th Scientific Meeting of the Italian Statistical Society (pp. 702 - 707). Torino, Pearson Italia. ISBN: 9788891927361, Pisa - Virtual. [Link].
  • Borgoni, R., Gilardi, A., Zappa, D. (2020). Spatial modelling of driver crash risk using georeferenced data. In NESPUTT 2019 - New Economic & Statistical Perspectives on Urban & Territorial Themes. (NESPUTT 2019). E-book. vol. libreriauniversitaria, ISBN: 9788833592091, University of Milan - Bicocca, 2019. [Link].
  • Gilardi, A., Borgoni, R., Zappa, D. (2020). Assessing the Risk of Car Accidents in Road Networks. In NESPUTT 2019 - New Economic & Statistical Perspectives on Urban & Territorial Themes. (NESPUTT 2019). E-book. vol. libreriauniversitaria, ISBN: 9788833592091, University of Milan - Bicocca, 2019. [Link].
  • Gilardi, A., Borgoni, R., Zappa, D. (2019). Spatial Logistic Regression for Events Lying on a Network: Car Crashes in Milan. In: Book of Short Papers SIS2019. (pp. 1165-1170), Pearson, ISBN: 9788891915108, Milano, 2019. [Link].
  • Gilardi, A., Borgoni, R., Pagliosa, A., Bonora, R. (2018). Spatiotemporal Prevision for Emergency Medical System Events in Milan. In: Book of short Papers SIS 2018 (pp. 1697-1702). ISBN: 9788891910233, Palermo, Italia, 2018. [Link].

Awards and Grants