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Importance sampling schemes for updating approximate probability estimates are described.
Methods of point estimation, interval estimation, determination of sample size, and inverse sampling schemes for such sampling designs have also been discussed.
We apply a previously developed design optimization framework to the problem of finding good bandit problem experiments, and develop computational sampling schemes for implementing the approach.
For this reason, it is crucial to assess AFB1 distribution and variability accurately in pistachio samples, in order to establish informed sampling schemes for health protection purposes.
Based on the analysis of the migration method, we propose efficient and effective sampling schemes for imaging small and extended scatterers from knowledge of time-dependent scattered data due to incident impulsive point sources.
We tested 20 specific temporal sampling schemes, for example, different combinations of generations to be sampled.
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Fig. 1 Gabor sampling scheme for multipulse signals.
A novel irregular and nonuniform sampling scheme for image data is presented in this paper.
This objective function is maximized to obtain the sampling scheme for the detection problem under consideration.
For the same purpose, we propose a random sampling scheme for CS.
Specifically, we have introduced a peculiar CS sampling scheme for spatially sparse bidimensional signals.
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