184 citations · 815 across the 63 of their papers we have counts for
12 papers · 1 filter
Bayesian Statistical Inversion for High-Dimensional Computer Model Output and Spatially Distributed Counts
Steven D. Barnett, Robert B. Gramacy, Lauren J. Beesley +4
Data collected by the Interstellar Boundary Explorer (IBEX) satellite, recording heliospheric energetic neutral atoms (ENAs), exhibit a phenomenon that has caused space scientists…
Robust Wrapped Gaussian Process Inference for Noisy Angular Data
Andrew Cooper, Justin Strait, Mary Frances Dorn +3
Angular data are commonly encountered in settings with a directional or orientational component. Regressing an angular response on real-valued features requires intrinsically captu…
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…
Traditional kriging versus modern Gaussian processes for large-scale mining data
Ryan B. Christianson, Ryan M. Pollyea, Robert B. Gramacy
The canonical technique for nonlinear modeling of spatial/point-referenced data is known as kriging in geostatistics, and as Gaussian Process (GP) regression for surrogate modeling…
Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation
Boya Zhang, Robert B. Gramacy, Leah Johnson +2
Delta smelt is an endangered fish species in the San Francisco estuary that have shown an overall population decline over the past 30 years. Researchers have developed a stochastic…
Synthesizing simulation and field data of solar irradiance
Furong Sun, Robert B. Gramacy, Benjamin Haaland +2
Predicting the intensity and amount of sunlight as a function of location and time is an essential component in identifying promising locations for economical solar farming. Althou…