Isaac Paul Sunseri

College of Sciences

Works (3)

Updated: July 5th, 2023 14:29

2022 journal article

Hyper-differential sensitivity analysis for inverse problems governed by ODEs with application to COVID-19 modeling

MATHEMATICAL BIOSCIENCES, 351.

By: M. Stevens n, I. Sunseri n & A. Alexanderian n

author keywords: Inverse problems; Sensitivity analysis; Uncertainty quantification; Design of experiments; Computational epidemiology
MeSH headings : Algorithms; COVID-19; Humans; Linear Models; Models, Biological; Uncertainty
Source: Web Of Science
Added: September 26, 2022

2021 journal article

Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know

SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 9(1), 163–184.

By: A. Alexanderian*, N. Petra, G. Stadler & I. Sunseri*

author keywords: optimal experimental design; Bayesian inference; inverse problems; model uncertainty; sensor placement; sparsified designs
Source: Web Of Science
Added: May 10, 2021

2020 journal article

Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations

INVERSE PROBLEMS, 36(12).

By: I. Sunseri n, J. Hart n, B. Bloemen Waanders n & A. Alexanderian n

author keywords: inverse problems; sensitivity analysis; design of experiments; subsurface flow; model uncertainty
Source: Web Of Science
Added: December 21, 2020

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