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.}

_{Presicce L., Banerjee S. | Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach | in: Journal of Machine Learning Research (to appear), volume 27, pages 1–60, 07 2026.}

Submitted and Working papers

_{Presicce L., Banerjee S. | " Dynamic Bayesian Predictive Stacking via Markovian Spatiotemporal Propagation " | in: Arxiv preprint (Under Review).}

_{Presicce L., Chin A., Nishimura A. | " Sticky Dynamical Monte Carlo for Structured Bayesian Variable Selection: with Application to Exploration of Gene-by-Environment Interactions " | in: Preparation (Forthcoming).}

_{Tedesco L., Presicce L. | " Learning the Geometry of Nearest Neighbor Gaussian Processes " | in: Preparation (Forthcoming).}

In Conference Proceedings

_{Presicce L., Banerjee S. | Variational Propagation for Exact Spatiotemporal Dynamic Modeling | in: SIS 2025 book of short papers, pages 61-67.}

_{Presicce L. | Enhancing Bayesian Distributed Learning with Spatially Adjusted Predictive Distributions | in: SIS 2025 book of short papers, pages 220-226.}

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

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

_{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.}