Publications

You can also find my articles on my Google Scholar or ORCID profile!

Journal Articles

_{Gilardi A., Borgoni R., Presicce L., Mateu J. | " Measurement Error Models for Spatial Network Lattice Data: Analysis of Car Crashes in Leeds " | in: Journal of the Royal Statistical Society Series A: Statistics in Society, volume 186, pages 313–334, 04 2023. | download paper here}

Submitted and Working papers

_{Presicce L., Banerjee S. | " Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach " | in: Arxiv preprint. | download paper here}

_{Presicce L., Ferrini L., Castelletti F. | " Uncovering Dependences in Distributed Multivariate Models via Bayesian Graphical Learning " | in: Preparation.}

_{Presicce L., Banerjee S. | " Adaptive Markovian Spatiotemporal Propagation in Multivariate Bayesian Geostatistical Modeling " | in: Preparation.}

_{Presicce L. | " Enhancing Bayesian Distributed Learning with Spatially Adjusted Predictive Distributions " | in: Preparation.}

_{Presicce L. | " Variational Propagation for Exact Spatiotemporal Dynamic Modeling " | in: Preparation.}

In Conference Proceedings

_{Gilardi A., Borgoni R., Presicce L., Mateu J. | " Measurement Error Models for Spatial Network Lattice Data: Car Crashes in Leeds" | in: CLADAG 2021 book of abstracts and short papers, pages 348–351. | download paper here}

_{Presicce L., Rigon T., Aliverti E. | "Bias-reduction methods for Poisson regression models" | in: SIS 2023 book of short papers, pages 908–912. | download paper here}

_{Presicce L., Banerjee S. | " Bayesian meta-learning approach for feasible large spatial analysis " | in: SIS 2024 book of short papers, pages 442-448. | download paper here}