3 papers
stat.ME2024
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…
stat.AP2024
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…
stat.ML2023
Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks
Sweta Rai, Alexis Hoffman, Soumendra Lahiri +3
The heavy-tailed behavior of the generalized extreme-value distribution makes it a popular choice for modeling extreme events such as floods, droughts, heatwaves, wildfires, etc. H…