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Exploiting oddsmaker bias to improve the prediction of NFL outcomes
However, it is well-known that both human and algorithmic decision-making can be biased, so this paper explores if oddsmaker biases can be used in an exploitative manner, in order to improve the prediction of NFL game outcomes.
Estimating the risk associated with transportation technology using multifidelity simulation
This paper provides a quantitative method for estimating the risk associated with candidate transportation technology, before it is developed and deployed.
Predicting the behavior of interacting humans by fusing data from multiple sources
Multi-fidelity methods combine inexpensive low-fidelity simulations with costly but highfidelity simulations to produce an accurate model of a system of interest at minimal cost.
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