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Cost-effectiveness acceptability curves are typically interpreted as the probability that one treatment is cost effective at a given willingness-to-pay threshold, based on stochastic uncertainty.
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We consider two different approaches to evaluate the model output uncertainty, the output error method that lumps all uncertainty into the observation noise term, and a method based on Stochastic Differential Equations (SDEs) that separates input and model structure uncertainty from observation uncertainty and allows updating of model states in real-time.
Uncertainty quantification schemes based on stochastic Galerkin projections, with global or local basis functions, and also stochastic collocation methods in their conventional form, suffer from the so called curse of dimensionality: the associated computational cost grows exponentially as a function of the number of random variables defining the underlying probability space of the problem.
Geostatistical approaches based on stochastic simulations provide the spatial distribution of SHP and the uncertainty attached to their estimates.
For a normally distributed uncertainty on the current state, a solution based on stochastic linearization via the unscented transformation has been proposed [[63]].
Aiming at handling the track imprecision caused by inertial lag, model uncertainties and atmospheric environment disturbances, as well as stochastic noises, a terminal guidance law based on stochastic fast smooth second-order sliding modes control theory is proposed.
Reliability analysis is based on stochastic discrete event models like stochastic Petri nets.
Because of uncertainties involved in modeling, construction, and measurement systems, the assessment of the FE model validation must be conducted based on stochastic measurements to provide designers with confidence for further applications.
Our mechanism is based on stochastic datagram relocation.
The algorithm is developed based on stochastic finite-element method.
KF technique makes predictions based on stochastic and dynamic structures.
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