Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

Abstract: This article formulates algorithms to upper-bound the maximum value-at-risk (VaR) of a state function along trajectories of stochastic processes. The VaR is upper bounded by two methods: ...

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A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

Abstract: This paper introduces an effective active learning strategy to iteratively refine the training of Gaussian process models with application to uncertainty quantification. Compared to ...