32 citations · 56 across the 6 of their papers we have counts for
6 papers
The Mean Dimension of Neural Networks -- What causes the interaction effects?
Roman Hahn, Christoph Feinauer, Emanuele Borgonovo
Owen and Hoyt recently showed that the effective dimension offers key structural information about the input-output mapping underlying an artificial neural network. Along this line…
Is Time to Intervention in the COVID-19 Outbreak Really Important? A Global Sensitivity Analysis Approach
Emanuele Borgonovo, Xuefei Lu
Italy has been one of the first countries timewise strongly impacted by the COVID-19 pandemic. The adoption of social distancing and heavy lockdown measures is posing a heavy burde…
Computing Shapley Effects for Sensitivity Analysis
Elmar Plischke, Giovanni Rabitti, Emanuele Borgonovo
Shapley effects are attracting increasing attention as sensitivity measures. When the value function is the conditional variance, they account for the individual and higher order e…
Are the results of the groundwater model robust?
Arnald Puy, Emanuele Borgonovo, Samuele Lo Piano +1
De Graaf et al. (2019) suggest that groundwater pumping will bring 42--79\% of worldwide watersheds close to environmental exhaustion by 2050. We are skeptical of these figures due…
Bayesian estimation of probabilistic sensitivity measures
Isadora Antoniano-Villalobos, Emanuele Borgonovo, Xuefei Lu
Computer experiments are becoming increasingly important in scientific investigations. In the presence of uncertainty, analysts employ probabilistic sensitivity methods to identify…
Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments
Emanuele Borgonovo, Max D. Morris, Elmar Plischke
The functional ANOVA expansion of a multivariate mapping plays a fundamental role in statistics. The expansion is unique once a unique distribution is assigned to the covariates. R…