7 citations · 9 across the 4 of their papers we have counts for
5 papers
Efficient Closure Learning in Dynamical Systems: A Comparison of Data-Assimilated and Embedded Approaches
Rileigh Bandy, Teresa Portone, Mohammad Khalil +2
Increased computing power has transformed computational science and improved predictive capabilities for complex systems, but many phenomena still exceed current simulation capabil…
Duality and Error for Predictively Oriented Inference
Aurya Javeed, Drew P. Kouri, Teresa Portone +1
Predictively oriented (PrO) inference quantifies uncertainty by selecting a distribution over model parameters to optimize a scoring rule applied to the induced predictive distribu…
Scalable extensions to given-data Sobol' index estimators
Teresa Portone, Bert Debusschere, Samantha Yang +2
Given-data methods for variance-based sensitivity analysis have significantly advanced the feasibility of Sobol' index computation for computationally expensive models and models w…
Bayesian inference of an uncertain generalized diffusion operator
Teresa Portone, Robert D. Moser
This paper defines a novel Bayesian inverse problem to infer an infinite-dimensional uncertain operator appearing in a differential equation, whose action on an observable state va…
A Stochastic Operator Approach to Model Inadequacy with Applications to Contaminant Transport
Teresa Portone, Damon McDougall, Robert D. Moser
The mathematical models used to represent physical phenomena are generally known to be imperfect representations of reality. Model inadequacies arise for numerous reasons, such as…