Uncertainty Quantification Using Concentration-of-Measure Inequalities
This work introduces a rigorous uncertainty quantification framework that exploits concentration–of–measure inequalities to bound failure probabilities using a well-defined certification campaign regarding the performance of engineering systems. The framework is constructed to be used as a tool for...
Internet
https://thesis.library.caltech.edu/2282/1/LeonardJosephLucasThesis.pdfLucas, Leonard Joseph (2009) Uncertainty Quantification Using Concentration-of-Measure Inequalities. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/DRAM-H941. https://resolver.caltech.edu/CaltechETD:etd-05292009-165215 <https://resolver.caltech.edu/CaltechETD:etd-05292009-165215>