81 citations · 134 across the 19 of their papers we have counts for
7 papers · 1 filter
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…
Approximate Propagation of both Epistemic and Aleatory Uncertainty through Dynamic Systems
Gabriel Terejanu, Puneet Singla, Tarunraj Singh +1
When ignorance due to the lack of knowledge, modeled as epistemic uncertainty using Dempster-Shafer structures on closed intervals, is present in the model parameters, a new uncert…
Approximate Interval Method for Epistemic Uncertainty Propagation using Polynomial Chaos and Evidence Theory
Gabriel Terejanu, Puneet Singla, Tarunraj Singh +1
The paper builds upon a recent approach to find the approximate bounds of a real function using Polynomial Chaos expansions. Given a function of random variables with compact suppo…
Decision Based Uncertainty Propagation Using Adaptive Gaussian Mixtures
Gabriel Terejanu, Puneet Singla, Tarunraj Singh +1
Given a decision process based on the approximate probability density function returned by a data assimilation algorithm, an interaction level between the decision making level and…
Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data
Gabriel Terejanu, Yang Cheng, Tarunraj Singh +1
This paper presents the application of a particle filter for data assimilation in the context of puff-based dispersion models. Particle filters provide estimates of the higher mome…
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…