2 papers
stat.CO2026
Hierarchical Bayesian Calibration with Bayesian Committee Machine
Sebastian Heinekamp, David M. Higdon, Andreas Adelmann
Calibrating computational models to experimental data is a core task in applied statistics, especially in scientific domains, where physical experiments are costly and simulations…
stat.AP2024
Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting
Maike F. Holthuijzen, Robert B. Gramacy, Cayelan C. Carey +2
We present a novel forecasting framework for lake water temperature, which is crucial for managing lake ecosystems and drinking water resources. The General Lake Model (GLM) has be…