ENBIS-26 Conference

Session

Uncertainty quantification and sensitivity analysis

Sep 9, 2026, 9:00 AM

Conveners

Uncertainty quantification and sensitivity analysis

• Véronique Maume-Deschamps (Institut Camille Jordan, Université Claude Bernard Lyon 1)

10. Sensitivity analysis for sets: Application to pollutant concentration maps

Celine Helbert (Centrale Lyon - ICJ)

9/9/26, 9:00 AM

Other/special session/invited session

We are motivated by the field of air quality control, where one goal is to quantify the impact of uncertain inputs such as meteorological conditions and traffic parameters on pollutant dispersion maps. Sensitivity analysis is one answer, but the majority of sensitivity analysis methods are designed to deal with scalar or vector outputs and are badly suited to an output space of maps. To...

75. Explicit functional ANOVA and new results in model and algorithm explainability and sensitivity analysis

Dr Nicolas Bousquet (EDF)

9/9/26, 9:30 AM

Other/special session/invited session

We present a unified perspective on explicit functional ANOVA as a principled decomposition framework for black-box models, bridging explainability, sensitivity analysis, and algorithmic understanding. We derive an exact closed-form functional ANOVA for categorical inputs, valid under arbitrary dependence structures and even on sparse or non-rectangular supports, thereby removing a major...

15. Sensitivity Measures for Continuous Actions

Lea Friedli (Technical University of Munich)

9/9/26, 10:00 AM

Other/special session/invited session

The value of information (VOI) is a decision sensitivity measure that quantifies the expected improvement in decision quality when uncertainty in selected inputs is removed. Unlike many other sensitivity measures, the VOI provides not only a relative ranking of factors but also an absolute metric of decision quality. Despite this, its use has been limited, particularly to decision problems...