Stefano Castruccio

8 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-6728-965X

Department of Applied and Computational Mathematics and Statistics, University of University of Notre Dame

Publications

• A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity — Journal of the American Statistical Association 2025
• Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA — The Annals of Applied Statistics 2024
• Calibration of SpatioTemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks — The Annals of Applied Statistics 2023
• Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction — The Annals of Applied Statistics 2021
• Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model — The Annals of Applied Statistics 2020
• Reducing storage of global wind ensembles with stochastic generators — The Annals of Applied Statistics 2018
• Global space–time models for climate ensembles — The Annals of Applied Statistics 2013
• A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems — Journal of the American Statistical Association