GILARDI ANDREA

Gilardi, A., Borgoni, R., Mateu, J. (2024). A nonseparable first-order spatiotemporal intensity for events on linear networks: An application to ambulance interventions. THE ANNALS OF APPLIED STATISTICS, 18(1), 529-554 [10.1214/23-AOAS1800]. Detail

Gilardi, A., Borgoni, R. (2023). 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). Torino : Pearson. Detail

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, 186(3 (July 2023)), 313-334 [10.1093/jrsssa/qnad057]. Detail

Borgoni, R., Gilardi, A., Zappa, D. (2022). Optimal Subgrids from Spatial Monitoring Networks. In IES 2022 Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment - Book of Short Papers (pp.148-152). Sesto San Giovanni : Professional Knowledge Empowerment. Detail

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. Detail