81 citations · 134 across the 19 of their papers we have counts for
3 papers · 1 filter
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…
Optimal Data Split Methodology for Model Validation
Rebecca Morrison, Corey Bryant, Gabriel Terejanu +2
The decision to incorporate cross-validation into validation processes of mathematical models raises an immediate question - how should one partition the data into calibration and…
Bayesian experimental design for the active nitridation of graphite by atomic nitrogen
Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki
The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied in the context of Bayesian analysis using both synt…