Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples

17 Jul 2019Themistoklis P. Sapsis

For many important problems the quantity of interest is an unknown function of the parameters, which is a random vector with known statistics. Since the dependence of the output on this random vector is unknown, the challenge is to identify its statistics, using the minimum number of function evaluations... (read more)

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