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Today:

Doctoral Candidacy Exam
Global Sensitivity Analysis
- Yiqi Niu, FSU
Time: 10AM Room: Zoom
Abstract/Desc: Global sensitivity analysis is a vital component of uncertainty quantification in computational models, providing insights into how uncertainty in input parameters affects the variability of model outputs. This talk explores three primary sensitivity analysis approaches: Sobol’ sensitivity indices, derivative-based global sensitivity measures (DGSM), and a recently proposed technique called global activity scores (GAS), which is based on the global active subspace method. We present theoretical connections between GAS and Sobol’ indices, offering provable bounds and demonstrating the potential of GAS as a robust alternative.

Entries for this week: 1

Monday June 30, 2025

Doctoral Candidacy Exam
Global Sensitivity Analysis
- Yiqi Niu, FSU
Time: 10AM Room: Zoom
Abstract/Desc: Global sensitivity analysis is a vital component of uncertainty quantification in computational models, providing insights into how uncertainty in input parameters affects the variability of model outputs. This talk explores three primary sensitivity analysis approaches: Sobol’ sensitivity indices, derivative-based global sensitivity measures (DGSM), and a recently proposed technique called global activity scores (GAS), which is based on the global active subspace method. We present theoretical connections between GAS and Sobol’ indices, offering provable bounds and demonstrating the potential of GAS as a robust alternative.

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This Week in Mathematics