Failure probability estimation through high-dimensional elliptical distribution modeling with multiple importance sampling

This paper addresses the challenge of performing importance sampling in high-dimensional space (several hundred inputs) in order to estimate the failure probability of a physical system subject to randomness. It is assumed that the failure domain defined in the input space can possibly include multi...

Ausführliche Beschreibung