2 papers
stat.AP2026
A Scalable Bayesian Spatiotemporal Model for Water Level Predictions using a Nearest Neighbor Gaussian Process Approach
Victor Hugo Nagahama, James Sweeney, Niamh Cahill
Obtaining accurate water level predictions are essential for water resource management and implementing flood mitigation strategies. Several data-driven models can be found in the…
stat.AP2025
A spatio-temporal statistical model for property valuation at country-scale with adjustments for regional submarkets
Brian O'Donovan, Andrew Finley, James Sweeney
Valuing residential property is inherently complex, requiring consideration of numerous environmental, economic, and property-specific factors. These complexities present significa…