most citedApplication of Predictive Model Selection to Coupled Models

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2011

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…

stat.CO2011

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…

stat.AP20111 cited

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…

physics.data-an2011

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…

stat.AP20115 cited

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…