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The main purpose of this paper consists in analyzing observer performance in presence of both state/measurement noise by using a stochastic framework.
As the effect of jamming at each node is probabilistic, the state of being jammed will also be non-deterministic and, hence, must be studied using a stochastic framework.
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Here, we use a stochastic framework to simulate the process of translation in the context of an Escherichia coli cell by gathering the available biochemical data into a ribosome kinetics description.
Our calculations follow a stochastic framework; the age-specific YLL, YLD and DALY are estimated using a stochastic model that captures both uncertainty (from estimates) and annual variability in the input data (data inputs are drawn from the years 1999 2005), and reflects this uncertainty and variability in the model outputs.
We therefore study the low copy number dynamics of this model, using a stochastic kinetics framework based on the Gillespie algorithm, and propose statistical and analytic techniques which help us analyse the equilibrium behaviour of our stochastic system.
Building on previous work [10], [17], we have used a stochastic model in a Bayesian framework, combining the transmission via food-borne and red cell transfusion associated transmission with a differentiation with respect to genotype.
We expand our previous work [24] using a stochastic geometry framework [25, 26] to derive the optimal cluster-based fusion rule (OCR).
Analysis using a stochastic modeling framework for hyper-velocity impacts demonstrates that three-axes attitude stabilization is achievable with the flywheels array.
24 Only one economic model explicitly considers both the demands for preventative healthcare, using a stochastic dynamic framework.
In order to incorporate the uncertainty in the relative importance of different criteria in defining suitability, we modelled decisions within the MCDA framework using a stochastic approach.
By using a stochastic system analysis approach and average dwell time technique, a framework for the transmission power scheduling and control co-design is established.
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