The authors consider a general calibration problem for derivative pricing models, which they reformulate into a Bayesian framework to attain posterior distributions for model parameters. They then ...

In Bayesian divergence time estimation methods, incorporating calibrating information from the fossil record is commonly done by assigning prior densities to ancestral nodes in the tree. Calibration ...

This innovative framework accounts for both parameter uncertainty and discrepancy, key issues that affect prediction accuracy of digital twins of automated material handling systems in semiconductor ...

Quantitative rating systems are increasingly being used for the purposes of capital allocation and pricing credits. For these purposes, it is important to validate the accuracy of the probability of ...

This paper proposes a sequential design methodology for a combined physical system and computer simulator experiment having multiple outputs, in the setting where the goal is to find the Pareto Front ...