5 papers
Locally stationary Argo ocean heat content estimates: Modeling, validation and uncertainty quantification
Thea Sukianto, Mikael Kuusela, Donata Giglio +3
Argo profiling floats measure seawater temperature and salinity in the upper 2000 meters of the ocean. These floats are uniquely capable of measuring the global Ocean Heat Content…
Rapid Approximation Prediction for Kriging
Ziyu Li, Gregory Fasshauer, Douglas Nychka
Exact Kriging and conditional simulation (CS) for uncertainty quantification are computationally infeasible for modern spatial analyses with large numbers of observations and dense…
Hybrid Bayesian Smoothing on Surfaces
Matthew Hofkes, Douglas Nychka
Modeling spatial processes that exhibit both smooth and rough features poses a significant challenge. This is especially true in fields where complex physical variables are observe…
Evaluating COVID-19 Surveillance Testing Strategies at Colorado School of Mines: A Stochastic Modeling Approach
Laura Albrecht, Karin Leiderman, Suzanne Sindi +1
This study introduces a stochastic model of COVID-19 transmission tailored to the Colorado School of Mines campus and evaluates surveillance testing strategies within a university…
Hybrid Smoothing for Anomaly Detection in Time Series
Matthew Hofkes, Douglas Nychka, Tzahi Cath +2
Many industrial and engineering processes monitored as times series have smooth trends that indicate normal behavior and occasionally anomalous patterns that can indicate a problem…