Explores uncertainty analysis in Life Cycle Assessment, covering sensitivity, probability functions, parameter estimation, pedigree approach, and uncertainty propagation.
On Variance-Based Sensitivity Analysis for Stochastic Systems covers the impact of parameters uncertainty and sensitivity indices in stochastic models.
Explores verification and validation in computational modeling, emphasizing accuracy through comparison with experimental data and practical advice on model complexity.
Discusses X-ray detectors' properties, sensitivity, and signal-to-noise ratio quantification, as well as systematic errors like flat field corrections.
Explores deriving bounds for causal effects using sensitivity parameters on the risk difference scale, addressing limitations and proposing new approaches.
