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The prior information for the station site is encoded similarly.
As such, it is useful to consider prior information for such sequential design problems.
The posterior distribution of the estimation step is then considered as prior information for data assimilation.
The multiple model algorithm is also used to update the prior information for each bias magnitude sample.
The prior information for each class center of the three main brain tissues is estimated from 10 volumes.
In this paper, we set R β − 1 to zero to show we have no prior information for β.
Taking advantage of prior information for the purpose of enhancing the performance of NMF has been widely investigated.
Hence, the estimation of complex amplitude matrix β is regarded as prior information for waveform optimization here.
Based on extensive simulations, we concluded that the novel biomarker sequential testing approach out-performed other strategies when there was limited prior information for biomarker threshold determination.
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Because reasonably informative prior information is necessary for resolving the non-identifiability problem in this type of study, we emphasized the setting of the sensitivity prior distribution based on the following three points.
This increase amount drops to 10%% for the PMA algorithm, since it does not use any prior information (topology information for each site) while selecting the sites on-the-fly.
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