most citedSpatially Varying Deep Functional Neural Network: Application in Large-Scale Crop Yield Prediction

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stat.ME2026

Scalable Changepoint Detection for Large Spatiotemporal Data on the Sphere

Samantha Shi-Jun, Bo Li

We propose a novel Bayesian framework for changepoint detection in large-scale spherical spatiotemporal data, with broad applicability in environmental and climate sciences. Our ap…

stat.ME2026

Combining Climate Models using Bayesian Regression Trees and Random Paths

John C. Yannotty, Thomas J. Santner, Bo Li +1

General circulation models (GCMs) are essential tools for climate studies. Such climate models may have varying accuracy across the input domain, but no model is uniformly best. On…