81 citations · 86 across the 3 of their papers we have counts for
3 papers
Extensions to Multifidelity Monte Carlo Methods for Simulations of Chaotic Systems
Todd A. Oliver, Christopher S. Simmons, Robert D. Moser
Multifidelity Monte Carlo methods often rely on a preprocessing phase consisting of standard Monte Carlo sampling to estimate correlation coefficients between models of different f…
Validating Predictions of Unobserved Quantities
Todd A. Oliver, Gabriel Terejanu, Christopher S. Simmons +1
The ultimate purpose of most computational models is to make predictions, commonly in support of some decision-making process (e.g., for design or operation of some system). The qu…
Application of Predictive Model Selection to Coupled Models
Gabriel Terejanu, Todd Oliver, Chris Simmons
A predictive Bayesian model selection approach is presented to discriminate coupled models used to predict an unobserved quantity of interest (QoI). The need for accurate predictio…