3 papers
stat.ME2026
Vecchia approximated Bayesian heteroskedastic Gaussian processes
Parul V. Patil, Robert B. Gramacy, Cayelan C. Carey +1
Many computer simulations are stochastic and exhibit input dependent noise. In such situations, heteroskedastic Gaussian processes (hetGPs) make ideal surrogates as they estimate a…
cs.LG2026
Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
Abhilash Neog, Arka Daw, Sepideh Fatemi Khorasgani +10
Modeling Irregularly-sampled and Multivariate Time Series (IMTS) is crucial across a variety of applications where different sets of variates may be missing at different time-steps…
stat.AP2025
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…